A large amount of fresh food loss and waste occurs every day because of the inability to accurately and objectively predict shelf life. We provide growers with technology that enables them to ensure a batch is going to be accepted by customers before they even ship it. Having an objective shelf life standard will help to provide clearer sales to distributors and ensure that consumers receive high-quality fresh produce from you. It’s more important than ever to improve the brand of your farming or growing business. By reducing food loss and improving the freshness of your fruits and vegetables, you can ensure you stand out from the competition. Reducing waste is also crucial towards creating a greener planet because over 11% of the world’s greenhouse gases are caused by food.
Customers demand high-quality fresh produce, and it’s your job to get it to them. That’s why you have produce specifications. They help ensure you are consistently getting fruits and vegetables that meet your standards.
Retailers inspect produce to make sure it meets their criteria. This leaves many decisions to be made. What should you do with fresh produce that is nearly bad? What about produce that is much fresher than the rest?
If you’re using shelf life prediction technology, you’ll have a lot of data to make decisions with. How do you know what to do with all of this freshness information?
This blog post will explain what you can do with above-spec and under-spec fresh produce to maximize the benefit to the business.
Why Produce Specifications are in Place
Produce specifications are an important way to achieve consistently high-quality products. Customers will continue to shop at your store if they know they will get fresh food. If these specifications weren’t followed, there would be a lot of guessing and poor decisions made.
While there are specifications between every part of the supply chain, there is often little to base decisions off of in-store.
For example, if strawberries have been on the shelf for three days how do you know if they are still good to sell or not?
But what if these date codes are inaccurate in the first place? These are often conservative estimates that come as a result of “static testing,” which basically involves leaving them on a shelf to rot and coming up with an educated guess for what every batch will do.
However, by using our shelf life prediction technology we have seen that shelf life varies greatly between batches. There are a large number of factors influencing shelf life.
Date codes printed on packaging cannot magically change as a product ripens or rots.
If a produce manager sees a rotten apple that has a best by date of 4 days out, do you think they would still keep it on display? Hopefully not.
How to Determine Fresh Produce Shelf Life In-Store
Knowing real-time shelf life empowers produce managers to make better decisions.
Sadly, there aren’t magic wands to do this. But current technology is pretty close to that.
The most promising way to do this is by using handheld spectrometers. These devices are able to assess the current state of fresh produce using light and give a number of days it is expected to last.
Let’s say you have a carton of blueberries that have a best before date of tomorrow, but you find out the real shelf life is actually five days out.
It hurts every party to throw away healthy, uneaten fresh produce. It’s also expensive. ReFED has estimated the cost of food waste to retailers to be about $5,000 per ton.
With the ability to measure shelf life, you will then be left with three categories of fresh produce:
Three Different Classifications of Fresh Produce
1. Reject (“Under Spec”)
Fresh produce which has a short shelf life or is a different size/shape/color than the standard is considered under-spec. Far too often, this is the food that gets wasted.
This is the lifecycle for the majority of your fresh produce. It’s still good enough to be sold, but not exceptionally fresh.
3. Exceptional (“Above Spec”)
Produce that exceeds the acceptable quality limits and is most likely to be bought by customers.
What to Do with Under-Spec Produce
Let’s say you scan a carton of blueberries that are supposed to be good for 4 more days, but they are expected to go bad in 2 days. If kept at the same price, it’s unlikely these blueberries will be sold other cartons- especially if they are not visually as appealing.
Here are a few things you can do to help sell or recover under-spec produce:
Reposition the products so they are in front or on top
Decrease the price
Donate items to a food bank before they spoil
Send for aerobic digestion
Many retailers fear their brand reputations will be hurt by selling “imperfect produce”. However, Imperfect Foods and Hungry Harvest have been successful by only selling imperfect produce.
Follow the Food Recovery Hierarchy
In deciding what to do with under-spec produce, it’s important to focus first on methods with a higher socioeconomic impact.
This is a common approach that is not the ideal choice. By repositioning, you are putting less attractive produce in front. This means the customer will sort through your items, potentially bruising them in the process. With a consistent price, this is the logical thing to do for customers, but dynamic pricing is a way to prevent this.
2. Decreasing price and dynamically pricing
Dynamic pricing involves changing the price of items based on the quality or expected quality. A simple version of this is already done in many stores. If you notice the sell-by date is in less than two days, you may put it in the clearance section for a lower price. Because the price is lower, more people are likely to buy it.
But what if the sell-by date isn’t accurate?
You may be putting produce with six days of freshness for half price and produce expiring tomorrow for full price.
The solution to this is using real-time shelf life prediction to objectively price fruits and vegetables. If you know how long every item will last, you can assign a price to that item that is most likely to maximize revenue and minimize waste.
3. Donating to a food bank or local livestock
There are fruits and vegetables that may not meet paying customer demands, but would somebody in need still appreciate it?
A large concern for retailers is the food they donate will cause someone to get sick, and they may get sued. However, there are a number of protections in place in the USA to prevent this worry. If you still think it is not fresh enough to be donated to humans, there may be animals that would love to eat it. Check with your local livestock farmers to see if they would accept it!
4. Sending for aerobic digestion or composting
Composting and aerobic digestion are ways to recover energy from uneaten food. Both involve capturing the nutrients/energy released from degrading fruits and vegetables. In the case of composting, it can be added to soil to help new plants grow. Anaerobic digestion converts the gases released into energy. However, this is an expensive method when you think about all of the time and money spent growing and transporting that food.
The economic value of centralized anaerobic digestion is only $21/ton of food waste and centralized composting is only $4/ton, according to ReFED. For comparison, ReFED has determined that the economic value of improved inventory management is about $1,194/ton. That’s almost 300x more beneficial than centralized composting!
What to Do With Items Exceeding Produce Specifications
It’s rare that produce managers treat items exceeding produce specifications differently. With the current evaluation methods in place, there isn’t much they can do.
However, with shelf life prediction technology you can determine objectively that some items are just fresher than others. This may be something that customers will pay a premium for, depending on the fruit or vegetable.
If you know that the longest shelf-life is of value to your customers, then why not charge accordingly for this? This can help in a few ways.
Reduced waste, as customers will be more likely to buy the items closer to expiration
Increased revenue, as some customers will pay a slight extra amount for longer-lasting produce
Higher perceived value, as customers notice that you guarantee fresher produce than other stores and can prove it
Dynamic pricing benefits retailers for both under-spec and above-spec produce.
Relying on manufacturer-provided expiration dates leads to subjective decisions about selling fresh produce. This leads to increased waste and lost revenue.
You should focus on the top of the Food Recovery Hierarchy when making decisions on food. Produce specifications help, but they require subjective evaluation. Using shelf life prediction will help make informed, objective decisions about fresh produce.
https://onethird.io/wp-content/uploads/2020/09/strawberries4.jpg14401920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-09-28 14:45:262020-09-23 14:45:57What to Do With Items Failing and Exceeding Produce Specifications
In America, about four food items are thrown away out of every 10 that are bought. A huge amount of resources goes into creating that food, and it takes its toll on our planet. Preventing food waste can solve several critical global issues we are facing.
In this blog post, we’ll be discussing the various issues associated with food waste and why preventing food waste is important.
Some amount of shrink is inevitable when shipping fresh produce. It’s also a direct result of cost-cutting in many cases. However, if you can reduce the amount of food loss you have then there is a direct way to improving profitability.
If you’re ready to prevent food loss and give your customers fresher fruits and vegetables, then read on for 10 actions you can take when shipping fresh produce.
1. Use Shelf Life Prediction Technology
The majority of shelf life predictions come from static testing, which is a nice way of saying “sitting and waiting for the items to rot.”
All you have to do is hold the handheld scanner against the skin of the fruit or vegetable and a non-destructive light enters the item. From this simple action, you can see the number of days remaining on a connected smartphone or tablet.
You can see this technology in use in the video below!
One of the best ways to prevent food loss and waste is to perform quality control checks upon receiving your produce.
It’s possible that your products are destined to spoil regardless of your cold chain management.
The best approach is to use an objective assessment because subjectivity can lead to misguided decisions.
Spectroscopy is so helpful because the shelf life prediction is not up to the subjectivity of the inspector. This way you can ensure your employees make the right decisions, regardless of their level of training and judgment.
3. Implement FEFO Instead of FIFO
You’re still sending the first products that arrive out first?
If you are processing millions of items per day, that may be the most economical way.
However, imagine having the ability to know which batches will survive a long-haul shipment. You could then send batches near expiration to local customers and those lasting longer to further customers.
4. Create and Stick to Proper Handling Protocols
Excessive or rough handling can bruise and damage produce. Bruising causes your produce to spoil faster.
You can tell your employees to gently handle products, but it’s best to hold them to a well-documented standard operating procedure (SOP). This way they clearly know how to properly handle your items and have a reference to look back on.
5. Ensure Refrigerated Trucks Function Properly
Your refrigerated (or, reefer) truck is what connects the cold chain across the country.
If this truck isn’t keeping your produce at the proper temperature then your supply chain is ruined.
You can use temperature monitoring technology to track how the temperature varies over time.
6. Keep Truck Temperature Consistently Low Instead of Cycling
Fruit and vegetables don’t like a lot of changes in temperature. While you may be saving money by turning the cooling off and on in the refrigerated truck, you’re damaging the produce as a result.
When your trucks make stops and open the doors, this also introduces temperature changes to the produce. It’s best to minimize these changes as much as possible and to keep the cooling running.
7. Clear any Airflow Blocks
Airflow blocks can be hard to identify because you can’t see air. Still, if one of your pallets of items is blocking the airflow then your products will not be properly cooled.
Your temperature monitoring equipment may be able to help if you have enough thermometers and know the position of each.
It’s easiest to just check that the cooled air is not blocked.
8. Pre-Cool Both the Truck and Products
Just like the above tip, pre-cooling helps to keep the products at a consistent temperature. The best logistics operations have pre-cooling down to a science, and for good reason- it keeps their produce fresh.
From the moment an item is harvested, keeping it consistently cool is crucial to maintaining long shelf life.
9. Load Produce With Compatible Items
Multiple factors can lead to a shortened shelf life when shipping fresh produce using a reefer truck. Below are three ways to mitigate these factors.
Store items in their ideal temperature range
The ideal storage temperature varies for each type of produce. You should load items with similar ideal temperatures together when shipping. This guide to reefer commodities and temperatures should help you decide which products to group.
If you load your produce under meat or fish it can lead to cross-contamination and food safety concerns. But loading trucks with just produce can also lead to issues because of ethylene.
Minimize ethylene exposure
Some fruits and vegetables release ethylene, which can cause others to ripen. This is why you need to separate apples from other items in your fridge. Premature ripening due to ethylene exposure can cause entire batches to rot early. This is more likely to happen on long-haul shipments, but it’s important to follow best practices when it comes to loading produce.
https://onethird.io/wp-content/uploads/2020/09/peaches.jpg12801920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-09-22 15:07:332020-09-22 15:10:1610 Tips to Reduce Food Loss and Shrink When Shipping Fresh Produce
Chances are you are determining the shelf life of your products in some way today. You may have heard of shelf life prediction before, but there’s a lot of confusion over the different approaches and applications. The purpose of this ultimate guide is to discuss all aspects of fresh produce shelf life prediction and how to start reaping the benefits from it.
Shelf life prediction is a method that determines how long an item lasts until its “end of life”. For fresh produce, this usually means the time until an item is no longer acceptable to sell to a consumer. This is different from shelf life extension, which essentially prolongs the shelf life of an individual item.
Knowing shelf life enables better decision making. For example, you can know which batches will survive a long-haul shipment and which should be sent locally. For exporters, knowing shelf life helps you ensure the products you ship will be fresh when the customer receives it. Understanding the shelf life of your produce helps to prevent food loss and waste, reduce costs, and improve freshness.
How it Works
Shelf life prediction methods collect data about fresh produce and use algorithms to estimate when it will reach “end of life”. Some can even do this in under one second.
These parameters can include:
Technology You Can Use to Predict Shelf Life
There are five major methods for predicting shelf life (which we will cover in more detail in Section 4):
Temperature and humidity monitoring
OneThird uses spectroscopy to quickly analyze the biochemical processes inside fruits and vegetables. You can see shelf life prediction in action in the video below!
How Shelf Life Prediction Technology is Better Than Manual Methods
The traditional method of shelf life prediction is simply to leave items on a shelf and see how long it takes to reach the “end of life.” This is slow, destructive, and does not account for batch-to-batch shelf life variation. By the time 20 days have passed, the batches entering your warehouse are likely to have a different shelf life due to temperature and soil changes. Not to mention, every batch is subjected to different temperatures. When predicting shelf life accurately, it is important to include the factors that affect shelf life in your measurements. New shelf life prediction methods do just that, as they use AI to analyze all the raw data and output what the shelf life is. This is rapid, as well. What once took 10 days can now be done in one second and on every batch, non-destructively.
Assess how you currently measure shelf life in your business.
Do you leave products on a shelf to rot?
How many labor hours does this take?
What information are you missing out on?
What information have your customers asked you for with regards to freshness?
2. Assessing Your Current State
Why Preventing Food Waste is The Most Beneficial Method
You don’t grow food just for the sake of it ending up being used in methods at the bottom of the food recovery hierarchy. Food is grown to be eaten. It’s expensive to grow, water, harvest, cool, package, and transport food that’s never eaten. Further, if you are paying for anaerobic digestion and composting then it’s costing you even more. These methods are better than dumping food into a landfill, they are still towards the bottom of the EPA’s Food Recovery Hierarchy. This means they are less preferred in terms of cost savings and socio-economic benefits.
As seen in the above diagram, you should prioritize methods that focus on preventing food waste and feeding hungry people because they provide the largest socio-economic impact. Sending to a landfill, composting, and anaerobic digestion may seem easy, but all will end up hurting your business more.
Determining Your Volume of Food Loss/Waste
Many businesses report food waste as only the food that is sent to a landfill. While technically this is true, a much better approach is to assess the amount of surplus food you have. By using this approach, you can determine the root causes of food loss/waste. Many businesses think they can simply divert food from landfills and compost it or anaerobically digest it. And if you don’t measure waste diversion at all, now is the time to start. You cannot improve what you cannot measure.
How Much Can Businesses Save By Preventing Food Waste?
For this example, let’s assume your yearly food surplus is a modest 3,000 tons. If only 40% of this is fresh produce and you would only expect to prevent 50% of waste, that’s still about $3,000,000 per year saved!
Stakeholders in every part of the value chain can benefit from shelf life prediction. This technology gives you an “objective standard” for easy quality discussions between suppliers and buyers. For example, a grower-shipper and a retailer can agree that the products they exchange will have a minimum of seven days of shelf life. With this clear, objective goal, the grower-shipper can assess shelf life before shipping to ensure no food will be rejected or wasted. The retailer can ensure that the produce they accept is fresh enough for customers to buy and consume before it rots and becomes waste.
With every shipment, growers are putting their reputation on the line. Rejected shipments not only make their business look bad, but they are also expensive to deal with. Growers can decide which customers to send different batches to (dynamic routing) and ensure that their products will survive a shipment.
Distributors may think they run a FEFO (first expiring, first-out) operation, but how can they really know? If there isn’t a repeatable, objective measurement in place then this process is not optimized and it is causing unnecessary food loss. By knowing the shelf life of every batch, distributors can optimize product freshness and have happier customers.
You keep produce from numerous suppliers in your warehouse and maybe even have some international exports. How can you be sure that what you’re sending will survive a shipment? Using shelf life prediction, wholesalers compare the shelf life of a batch to the minimum requirement days of freshness. For example, if you have an export to the U.K. that takes 11 days you can ensure your products will last 11 days (plus however many days of freshness your customer should have).
Retailers can ensure analyze incoming produce to ensure it meets their freshness and shelf life standards. They can also equip produce managers with the ability to analyze individual fruits and vegetables. Employees can make decisions based on freshness and not inaccurate and confusing “best by” dates. It’s rare to have customers contact you when they receive great produce from you. You will always hear about it if your produce rots after one day. You can also implement dynamic pricing with an objective measurement for freshness to adjust the price- rather than the manufacturer’s given date.
There are numerous parts to the complex food supply chain. Because shelf life prediction is so new, there are many undiscovered applications of this technology. In any instance where fruits or vegetables exchange hands or are inspected for quality or freshness, you may be able to benefit from shelf life prediction.
Brainstorm five ways you could benefit from knowing the shelf life of your products in your specific business. Is it for standing out from competitors? Protecting your reputation? Moving to FEFO? Write them down.
4. Shelf Life Prediction Methods
Each of the five major methods of shelf life prediction has its target applications. Spectroscopy is currently the only shelf life prediction method that can predict shelf life based on intrinsic quality.
1. Static Testing
Static testing is the most archaic method of determining shelf life. It involves leaving items on a shelf to rot and counting the days until they reach their “end of life.” It cannot account for variation between batches and is slow to perform. Plus, if you accept shipments from hundreds of orchards how could you possibly test the shelf life of every batch? Because shelf life prediction technology has not been accessible until now this is still the most commonly used method right now.
2. Temperature and Humidity Monitoring
Temperature and humidity conditions play a large role in affecting the shelf life of produce. You can predict the shelf life of a certain batch by comparing the temperature profile to that of historical batches. However, you cannot simply measure the temperature of fruit and know the shelf life- you need to know the entire temperature history.
Source: Zest Labs
3. Chemical Analysis
Analyzing ethylene, a hormone that some fruits and vegetables release during ripening, can help you understand when products are ripening. For example, if you notice a spike in ethylene you can determine that it will probably take around eleven days for your fruit to rot. This can help you decide which batches to ship our first. Also, color-changing stickers can help indicate freshness for consumers.
Source: Strella Biotechnology
Imaging is great for pointing out defects that may be indicators of ripening. You can also analyze images outside the visual spectrum (hyperspectral) to show defects inside fresh produce that the human eye cannot see. Hyperspectral imaging can show the internal ripening process of fruits and vegetables. Correlations between bruising and end of life can be used as a shelf life predictor.
The only method that can use intrinsic quality to predict shelf life is spectroscopy. Every fruit and vegetable has a unique “spectral fingerprint.” Algorithms compare this spectral data to existing data for that variety to predict shelf life. It’s as simple as holding a device against an item for only one second as near-infrared (NIR) light enters the item. It’s non-destructive to the fruit or vegetable and not harmful to humans.
You can measure just a few items in a batch to have a good idea of the shelf life is for that batch. Spectroscopy can be used at any point along the journey from farm to fork. Any employee can pick up a device and determine shelf life.
Capabilities of Each Method
The benefits and ideal application for each method vary. Below is a matrix showing the capabilities of each shelf life prediction method.
It’s worth noting that combining methods may be the best option, as more data leads to improved accuracy. Combining the intrinsic quality data with a temperature profile will provide a more complete picture of a product’s life.
Important Features to Look For
For any technology, it’s important to make sure it will provide a return on your investment. If a solution is adding too many unnecessary extra processes or taking a large amount of labor time, it may be hard to break even. The diagram below briefly shows three important features of any shelf life prediction solution.
Brainstorm 3 benefits that you would have from implementing each method of predicting shelf life.
What problems would it solve?
How much time could you save?
What could you validate by knowing shelf life?
5. Implementing Shelf Life Prediction
Starting a Trial
For new technologies, it’s common to first implement a trial (or at least analyze a case study). Because you’ll initially be adding the cost of the technology to the bottom line you want to make sure it provides a return on your investment. But rest assured, ReFED has said that “[food waste] prevention solutions offer the highest returns to retailers” (ReFED Retail Food Waste Action Guide).
The key to evaluating new technology is to have specific and measurable KPIs (key performance indicators). For shelf life prediction technology, it may be cost savings and the accuracy of predictions compared to current methods. Having this data will enable you to decide if you should move forward with the solution or try another one.
Once you have proven the technology you’re using provides a return on investment then it’s time to scale up the implementation. You can increase the number of sites, number of produce varieties, number of employee licenses, and more. By scaling the implementation of shelf life prediction, you will also be scaling your food loss and waste savings.
Implementing Across the Supply Chain
The fresh food value chain is complex and the journey of fruits and vegetables from farm to fork involves many stakeholders. Suppliers aren’t able to track their products after their customers receive them. That’s why it’s important to connect product data between all parties and why blockchain is expected to be so useful in the future. The best shelf life prediction solutions, like OneThird’s, have a cloud platform where you can analyze objective product lifecycle data. This data is key to improving freshness management.
Integrating With Your Existing Processes
For technological solutions, it is typically best to have them fit into your existing processes where possible. This reduces complexity and improves utility. Obviously, your employees aren’t currently holding a handheld shelf life scanner to a set sample of products yet. So you may add some steps. However, the steps you add should all contribute to labor and food waste savings. It can even remove some steps to simplify your processes (like static shelf life testing). Because shelf life prediction technology is so flexible, it can often be “plugged in” to your existing procedures.
Integrating With Other Data Sources
At the core of shelf life predictions are algorithms that analyze multiple data sources. By adding more data sources, these algorithms can become more accurate and give a more complete picture of a product’s lifecycle. For example, adding temperature/humidity data to an algorithm based mainly on spectroscopy can account for shipping conditions more holistically. Because this technology is so new, this hasn’t been done much yet in the industry. However, this is a logical next step and one that is on the roadmap for most companies.
How OneThird Can Help You Predict Shelf Life
OneThird’s mission is to become the objective quality standard from farm to fork. As Friends of Champions 12.3, we are working to halve global food loss and waste by 2030. We offer handheld spectroscopy scanners, shelf life algorithms, and a cloud platform for analyzing data. We develop customized shelf life prediction solutions so any business in the value chain can reduce food waste, improve freshness, and save money.
With thin margins in the fresh food industry, automation is a straightforward way of reducing costs. With shelf life prediction, you can automate several processes. This may include sorting lines, shipping allocations, and quality assessments.
Objective Taste and Nutrition Standards
The goal of any quality measurement is to ensure customers receive a good product. When it comes to food, customers care just as much about taste and nutrition as they do freshness and physical appearance. It’s possible that in the future, there will be reliable technology to give objective measurements for taste and nutrition. Produce suppliers can then measure these two metrics to ensure they have the happiest possible customers.
Like the computer in the ’80s, once a technology is proven to work and seen as useful then it can move into the consumer space. The same might apply for shelf life prediction. Shoppers may soon have handheld spectrometers they can use in a supermarket to assess fresh produce. Retailers will have more demand to provide the best taste, nutrition, and freshness as a result.
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https://onethird.io/wp-content/uploads/2020/08/Ultimate-Guide-Cover-3-e1598283956386.png500500Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-08-28 14:16:532020-09-01 20:27:51The Ultimate Guide to Fresh Produce Shelf Life Prediction [With Free PDF Download]
We often hear about subjective and objective quality control for fresh produce, but the difference can be confusing.
This post will explain the differences between subjective and objective measurements and how they are used for QC.
What is a Subjective Measurement?
Subjective means the measurement you are performing can be influenced by a person’s opinion.
Think of it like this: subjective results are subject to interpretation.
Subjective Quality Assessment Examples
An example of a subjective measurement is visual defect inspection by employees. If employees look at individual fruits and vegetables to analyze defects then it is subject to their bias.
The very best of operations have minimal variation between inspectors, and this can require years of training.
Problems With Subjective Measurements
Because subjective measurements rely on human interpretation, measurements can vary for different employees.
For example, one employee may pass a banana that the other wouldn’t have in a quality check.
Fresh produce companies use many subjective measurements because they seem simple. Freshness experts must be trained to have repeatable and reproducible results.
However, this is expensive and still not as accurate as an objective measurement would be.
What is an Objective Measurement?
Objective means something is driven by data and facts, without personal bias.
An objective measurement is something that you can base decisions on that is not influenced by human opinion.
By having objective measurements in place, there is no guesswork or room for human error. All measurements have the same basis.
Examples of Objective Quality Control Measurements for Fresh Produce
There are a few useful objective measurements for fresh produce.
Some examples are temperature profiles, Brix, and objective shelf life predictions.
These measurements are only objective when they are not subject to a human’s interpretation. For example, an employee manually squeezing peaches to test firmness is not objective. Using a tool to apply the same force to every peach and noting that force recording is objective.
We know that objective quality control is helpful, but can you take any measurement (firmness, for example) and base all your decisions on it? No.
An objective standard is an accurate and reliable indicator of what you want to control.
For example, if you want to control freshness, then shelf life could be your objective standard. However, shelf life determined from leaving products on a shelf until they rot is subjective. It also doesn’t account for variation between batches.
Instant shelf life prediction measurements based on intrinsic product quality are a reliable objective standard.
Why Objective Shelf Life Prediction is So Effective
There is no variation in shelf life predictions between employees when measured objectively. In this case, a handheld scanner and algorithms are what determines the shelf life in this case- not the employee.
This also means that you can hire someone new and have them at an equal level of measuring shelf life as an expert who has been there for 12 years.
Of course, if you still have other subjective measurements to perform, this new hire will be behind the curve. This is why it is beneficial to implement objective measurements wherever is reasonable in your business.
The best method depends on the specific application. Are you wanting to quickly assess a batch of strawberries and see how it compares to others? Then OneThird’s spectroscopy solutions are probably best for you.
There’s no single solution that will fit every application and prevent all your food loss. This is a complex issue that is best fought with a variety of tools.
However, much of it is caused by poor freshness management. Are you using shelf life as a metric when deciding what to ship next? Or are you simply using visual assessment and what your staff believes should be shipped first?
Most companies just accept a certain level of loss and waste with their products. However, this is expensive and harmful to the environment. All while over 10% of the world is going hungry.
It’s a major initiative for the food system to halve food loss and waste by 2030 for many reasons. This means we must take steps now to reach our goals laid out by the UN.
How to Truly Switch to FEFO
It’s too common to have a subjective metric for assessing the expiration date. The problem with this is you run into human error and it requires a lot of labor.
The key to implementing FEFO in your business is comparing different batches objectively.
Is your metric the percentage of marketable products? Is it the average shelf life of a batch?
That’s why OneThird has developed a solution to predict shelf life in under a second by using a handheld device. By doing this, you can objectively compare various batches of fresh produce and base decisions on how long batch is expected to last.
Once you have a reliable method for ensuring a FEFO operation, you will see additional benefits.
What Will Improve When You Know Shelf Life?
There are numerous benefits for shelf life prediction, and they depend on the application.
Grower-shippers will see benefits at the quality dock because they will know which batch to send where.
For example, if you have one batch with six days of shelf life and one with ten, you will send the batch with six days to a closer location.
Shelf life prediction gives your customers the freshest produce and minimizes food loss.
https://onethird.io/wp-content/uploads/2020/08/lance-grandahl-napjvLy6lys-unsplash-1.jpg14401920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-08-04 19:55:412020-09-03 19:48:37Why You Need to Use FEFO for Fresh Produce
We’ve talked with people in the fresh produce supply chain and understand what matters to their business.
There’s excitement around shelf life prediction because it can save millions of dollars, decrease food loss and waste, and provide clearer decisions.
The Benefits of Shelf Life Prediction for Suppliers
So you’ve finally invested in shelf life prediction technology. What benefits do you see? Well, a lot.
1. Decide Which Products to Ship First
Growers must have little to no waste for their shipments to be profitable. And it’s often the case that it’s cheaper to toss a shipment than pay for the logistics of recovering it.
Due to current limitations, most companies ship in a “first-in, first-out” (FIFO) approach. However, we know that shelf life can vary widely across batches. The batch from 5 days ago may last a week longer than the one from yesterday.
And what about produce that’s stored in coolers for long periods? How do you know which should be shipped out first?
Shipping the right product at the right time minimizes food loss/waste, improves product quality, and builds your reputation.
2. Increase the Number of Customers
Guaranteeing your produce meets a minimum shelf life will do wonders for your ability to attract new customers. Do you think a buyer is more likely to purchase strawberries that have 12 days of measured shelf life or those that have no shelf life given?
This helps your customers manage their inventory and minimizes the waste that occurs in their warehouses.
3. Objective Shelf Life Specifications With Buyers
Produce buyers can easily provide their shelf life requirements to suppliers and ensure they are getting good produce. In this high-volume industry, you often only have a few minutes to inspect products, and this can lead to issues.
Shelf life gives you an idea of the entire product lifecycle instead of just the subjective quality grade.
4. Prevent Quality Disputes and Expensive Inspections
Quality disputes can be annoying and expensive. With an objective basis for decisions, you can handle more disputes with data and won’t have to worry about paying to bring inspectors out.
But wouldn’t it be nice to know a customer will receive a high-quality shipment before you send it?
Assuming the cold chain isn’t completely broken, shelf life prediction helps to ensure you are optimizing the freshness of your produce.
6. Plan Long-Haul Shipments and Exports
According to growers and exporters we’ve talked to, shipping long distances can be a gamble. It’s scary to think that an entire batch could go bad en-route and the ensuing damage to your brand reputation. Not to mention the food loss and expenses it causes.
Ensure you are sending products with the longest shelf life and the greatest chance of survival to your distant customers.
7. Perform Simple Price Adjustments
By having an objective standard, you can easily measure how much the shelf life deviates from an agreement. If the shelf life is different than expected, you can have a simple price adjustment based on data.
8. Test Different Shelf Life Extension Methods
Growers and shippers test methods for extending shelf life to see which work best. However, analyzing different samples in a study is subjective and often visual. Shelf life prediction allows you to instantly see how each factor in your tests affects shelf life.
There’s no need to keep the products in the fridge and visually inspect them!
9. Analyze Shelf Life Trends Over Time
As the population grows and the amount of land we have remains the same, it’s important to improve efficiency every year.
You’ll be able to look back at historical shelf life data and make more informed decisions about the future.
10. Eliminate the Need for Static Testing
It’s 2020 and it’s still commonplace to determine shelf life by waiting for fruits and vegetables to expire on a shelf. Not only is this expensive and time-consuming, but it’s also not accurate.
Shelf life can vary widely across batches and is affected by several factors.
Eliminate the need for this by incorporating shelf life prediction into your procedures.
But Wait, There’s More
The best part of implementing this technology is you will uncover more uses for it the more you use it.
The possibilities are endless.
How Could Shelf Life Prediction Be Used in the Future?
It’s exciting to think about the benefits of shelf life prediction once the food system more heavily adopts it.
It could be used for:
Objective decisions in blockchain-based operations
High-speed sorting by shelf life
Harvesting time determination
These are just a few, but it’s exciting to think about the future of the food system with this technology.
Fresh produce suppliers benefit from shelf life prediction in many ways.
The potential applications of this technology will become more apparent as it is adopted more heavily.
Technologies like blockchain and high-speed sorting require objective measurements to work for perishable items. Shelf life prediction provides the ideal objective standard for the fresh produce supply chain.
https://onethird.io/wp-content/uploads/2020/07/thalia-ruiz-pCrSmWYagOs-unsplash-1.jpg12921920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-07-28 12:53:512020-09-03 19:47:08How Shelf Life Prediction Can Help Fresh Produce Suppliers
https://onethird.io/wp-content/uploads/2020/07/maja-petric-vGQ49l9I4EE-unsplash-1.jpg12801920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-07-23 18:38:112020-09-03 19:44:48What is Fresh Produce Shelf Life Prediction?
First of all, it stands for “Artificial Intelligence”. This just means a computer is making decisions based on data.
Its usage has been growing because of the benefits that businesses see, especially in the food system. There are some technologies, like high-speed sorting and shelf life prediction, that can only AI can do.
Why is AI Used in Food Production and Distribution?
Two major trends show the need for AI in the food system.
The increasing population
A decrease in the number of people working in agricultural jobs
There will be 70% more mouths to feed by 2050
Because more people are being born every day, we have to find ways to feed them using the resources we have. There is a finite amount of land on the planet, so we must make the most of the food we do grow.
We have never had fewer people working agricultural jobs
150 years ago, around half of all people worked jobs in agriculture. This is now below 2% in America. Between 2008 and 2018, 236,800 agriculture jobs were added in the U.S. The BLS expects the U.S. to only add 10,600 agricultural jobs between 2018 and 2028.
The lack of human resources is one reason innovation and automation are important. If we have nobody to replace the roles people have filled for thousands of years, the food system falls apart.
What Are Some Benefits of Using AI in the Food System?
AI allows you to analyze huge amounts of data in a small amount of time.
Here are a few benefits the food and agriculture industry has seen:
Increased cost savings
Shelf life prediction and better routing decisions
Less time spent generating reports
Reduced food waste
Improvements towards sustainability goals
Easier and automated quality control
AI is used all across the food system, and the benefits differ for each business.
Different Ways AI Can Be Used in the Food System
In this section, we’ll discuss some of the more common applications of AI for the food supply chain.
Harvesting Decisions for Growers-
Knowing when to harvest certain crops is important for growers. AI has been able to accelerate research in this area. Growers can use mathematical equations to calculate harvest time, but what if one of those factors changes? And how do you know afterward if it was the right decision?
AI is powerful because you can use data (historical, current, and future) to make real-time decisions. It also allows you to analyze trends and make improvements over time.
Gone are the days where you have to inspect and sort each fruit and vegetable by eye. High-speed sorting today can handle thousands of items per minute and has revolutionized the industry. Equipment can sort items based on size, appearance, and quality. In the future, it will also be possible to sort based on shelf life to ensure consistent quality in each batch.
Shelf Life Prediction-
Shelf life prediction has been researched for over 20 years and you can finally use it in your business. OneThird is at the forefront of instant and accurate shelf life prediction technology. We have handheld devices that can make anyone an instant freshness expert. Major benefits include easier inspections, objective standards, and dynamic routing.
Wouldn’t it be nice to ship products expiring first out first? This is tough/impossible to do without knowing the shelf life of a batch and how it compares to others. With AI, this is a breeze.
Using dynamic routing, any company can quickly assess freshness and determine where to ship batches to maximize profit and minimize waste.
Customer Demand Forecasting-
It’s tough to predict what customers will buy at any given time. It is a major cause of food waste, and one that many in the food supply chain have said is their biggest pain.
Some companies can use social media, newsfeeds, weather data, and historical data to predict consumer demand.
Even increasing accuracy by one percent would save millions in food waste costs. Having proper forecasting can also benefit other applications, like dynamic routing.
There are a lot of ways to assess the quality of fresh produce.
How many of these solutions can incorporate climate data?
How many can instantly compare results to every other measurement taken on that variety of produce?
With AI this can be done objectively in under 1 second and by anyone. You don’t have to rely on a gut feeling or visual assessment anymore.
In-Store Assessment and Dynamic Pricing-
Produce managers spend a large chunk of time assessing produce on shelves to determine if it is good to sell or not. What do they do with produce that doesn’t visibly change when it goes bad? Do they leave it on the shelf and harm their reputation from the customer receiving a bad product?
Chances are they will just toss products when they pass the sell-by date.
Shelf life varies for every piece of produce and too much edible food is thrown out because of limited knowledge on true shelf life.
What if you could know the remaining shelf life and price accordingly?
With dynamic pricing, retailers can sell lower-quality produce at a lower price, and vice-versa. AI is used to determine optimal prices for each type of fruit and vegetable to maximize profit and minimize waste. One such company, Wasteless, is doing that for several retailers.
Many company sustainability programs haven’t gained traction because companies don’t know how much food they are wasting.
Some companies are wasting up to 50 percent of their food and still have no clue!
Mainly used in foodservice, there are solutions to monitor what exactly is going into waste bins and the weight of that waste. Knowing this information, you can know exactly how much you spend on wasted food and can track improvements. AI enables food recognition and improvement suggestions.
What Are Common Concerns With AI?
Since AI often can outperform humans and replace labor, it does not come without fear.
“This will steal jobs”
This is one of the most common fears of AI. While most applications are implemented to increase the output of existing workers, there typically are savings in labor hours. For most businesses, reducing labor hours is necessary to keep up with the competition. If a company is left with a high labor cost, it will be less profitable and lose customers to competitors offering lower prices.
However, having employees perform more meaningful tasks and using AI to automate repetitive tasks can improve job satisfaction.
“How do we know we can trust the AI outputs and suggestions?”
This depends on the technology, application, and business you are working with. Most companies in the food system already trust AI for critical business processes. It’s already used in your email to filter out spam!
However, it’s important to keep an eye out for red flags and implement solutions you can trust.
“This will complicate things for our employees”
There is a common fear that having employees use technology will make them overwhelmed and perform their job at a lower level. The right solution should get rid of the annoying and tedious tasks they face and make their job simpler. If an employee’s job is becoming more difficult due to AI, it may be time to critically evaluate that solution.
“It will be expensive to implement and run”
AI technology can be expensive at times, but it should always be justifiable if it has a big price tag. If a solution can save you an extra $1 million next year, how much would you pay for it? You could technically have a return on your investment if it costs $999,999. However, you always need to determine the return on investment (ROI) of all potential solutions and pick the best ones.
https://onethird.io/wp-content/uploads/2020/07/stock-1.jpg12801920Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-07-22 14:11:302020-09-03 19:42:17Different Ways AI is Used in the Food System
Packaging Improvements and Modified-Atmosphere Packaging (MAP)
An easy step towards extending fruit and vegetable shelf life is to improve packaging. Shelf life-extending packaging can control respiration rate, ripening, and/or microbial growth.
Longer shelf life enables extended seasonality, less food loss, and a higher chance of maintaining freshness.
Modified atmosphere packaging (MAP) works to control the gases that surround an item. For example, limiting the oxygen that surrounds fruit will help to prolong shelf life.
Certain pallet covers, carton containers, and sheets can help to control ethylene.
Improving Treatment and Handling Procedures
From the moment a fruit or vegetable is harvested, you need to make sure your treatments and handling methods are not harming them.
Examples of poor treatment methods can be using contaminated water to clean items or storing them in contaminated boxes.
Also, ensuring fresh produce is not subjected to excessive forces will help to ensure they are not damaged. Even minor things can harm shelf life. Keeping standard operating procedures (SOPs) is important to ensure proper handling.
Finding Temperature Weaknesses in Cold Chain
Keeping a low temperature helps to limit decay and slow down microbial growth. If any part of the cold chain between harvest and the customer is compromised, it can harm the products.
One study showed that a delay of four hours between harvest and precooling of strawberries increased water loss by almost 50%. It also harmed the appearance upon arrival at the distribution center.
There are a few useful methods to record the temperature throughout the cold chain. This data can also be used to enable shelf life prediction.
Monitoring Humidity to Identify Improvement Areas
Humidity monitoring is equally important to temperature tracking. The two are often bundled together, as well.
Having high humidity helps to limit moisture loss in fruits and vegetables. Refrigeration can cause humidity loss, so keeping proper humidity levels is crucial to reducing shrink.
IoT devices track both temperature and humidity of items from the farm to the customer to identify areas for improvement.
Individual Item Coverings
Natural, plant-based coverings on fresh produce have generated a lot of buzz lately. One company, Apeel, has even raised a few hundred million dollars in funding for its solution.
Some stores have implemented using individual plastic coverings on fresh produce to extend the shelf life. It is best to avoid plastic wherever possible. However, using plastic coverings can be better for the environment than letting food go to waste. If this shocks you, you should learn more about the effects of food waste.
Some studies show how certain compounds can reduce the effects of ethylene or limit microbial growth to extend shelf life.
One company, StixFresh, claims to extend fresh fruit shelf life by up to 14 days using a sticker that gets placed on the fruit.
While there is plenty of validation in the supply chain left to perform, it is certainly an interesting idea that requires little effort.
Absorbent Food Trays and Pads
There is a lot of innovation around pads that can go in the containers of fresh-cut produce. Pads absorb excess juices and can help to slow a product’s respiration rate.
These are already commonly used in the industry, but it’s worth keeping up with the increasing capabilities of absorbent pads.
Since farming began, humans have always sought ways to make new varieties that taste better. Now that our planet is more spread out and we ship across the world, creating varieties of produce with longer shelf lives is an area of focus.
For example, the USDA recently released a strawberry with an improved shelf life. Only 29% of the strawberries degraded after a week in cold storage as compared to 93% of Camarosa strawberries.
If you are open to using new varieties, it is best to keep an eye on what is available and evaluate potential alternatives.
https://onethird.io/wp-content/uploads/2020/06/Retail.png462616Tyler Scheviakhttps://onethird.io/wp-content/uploads/2019/11/logo-onethird.pngTyler Scheviak2020-07-14 18:46:192020-09-03 19:40:329 Methods to Extend the Shelf Life of Fresh Produce
OneThird is reducing food loss and waste by giving anyone the power to instantly make smarter decisions about fresh produce.