It’s 2021, and It’s Time to Automate 5 Key Processes in Quality Control: How Many Do You Still Perform Manually?

Home > It’s 2021, and It’s Time to Automate 5 Key Processes in Quality Control: How Many Do You Still Perform Manually?
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Getting in the new year’s resolution spirit? Here are 5 elements of handling fresh fruit and vegetable quality standards that you really ought to be turning digital in 2021. When done right, these will help you to enforce, maintain and dynamically manage quality control in real-time.

Physically Collecting Data

Think about the way that fresh fruits and vegetables are assessed, and you’ll quickly realize the inefficiencies involved in traditional methods of quality control. Within 5 years, we expect the entire process of collecting data to be fully automated. This will start from external attributes such as size, color, and defects, and soon include internal attributes such as sugar content and acidity, too. Rather than rely on subjective assumptions about the quality of the produce, or use manual effort that often damages the actual crop,  the collection of data needs to be automated, consistent, and easy to complete, using a simple mobile app.  

This is especially true when you consider the changing requirements that accurate quality control insists on. Let’s take one example, of table grapes. In the early part of the season, you may want a minimum Brix level of 14%. As the season matures, the minimum threshold will be 16%. Rather than relying on a PDF update, an email notification, and the hope that your on-site inspectors will modify their quality thresholds, by changing the algorithm in the office, the inspection will be automatically rejected if it doesn’t meet the quality standards. 

Defining Inspection Protocols

Side by side with this, is what’s happening behind the scenes, from our management dashboard. While today, the inspector is responsible for making a judgement call on the quality of the fruits and vegetables, automation will soon make this yesterday’s solution. The QC manager can now define the checklist across the board for all inspectors, including which attributes to collect, and what defects to look into. The inspector becomes simply the data collector, while the QC operator makes the decisions at a much higher level. 

This empowerment can’t be underestimated. The QC manager now has the tools in place to govern the actual inspection process, from anywhere in the world, reducing error and waste, and adding efficiencies that could never be achieved through manual processes. 

Governing Quality Standards

Through automation, the customer can now configure their inspection protocols and know that the quality standards are consistent across the whole chain. From a single source, they can unify the management of the quality control process. 

Think about this in practice, compared to what the industry has today. We’re currently working with a large international retailer that has more than 175 produce categories. Each week, they had traditionally sent over the quality specs for most categories of fruit or vegetable to their growers all over Europe, via PDF. They then simply had to hope for the best that the specifications were kept to, and that when the produce arrived, it was up to the requirements. Now, with our platform, the retailer simply updates the quality specifications in the dashboard, and it’s immediately reflected in the management dashboard and mobile app of the suppliers’ inspectors. No more PDFs, and no more crossed fingers. 

Analyzing Shipment Rejection

Ask the majority of quality control stakeholders to explain their process for tracking and managing data, and they’ll likely point you to a pen and paper, followed by some kind of Excel spreadsheet or e-form software repository. In short, even logged information is unstructured data, making it almost impossible to benefit from. In the era of Big Data, this isn’t good enough. 

With Clarifruit, we’re offering the ability to track, store and manage the raw data reading for each inspection, not just the average per box, but every reading, including size, color, defects and more. From the Clarifruit platform, it’s structured data, and can be used to analyze the root cause of a shipment rejection, for example. Run analytics on a whole shipment, and see if there were issues at a certain point, whether that’s the warehouse, the distribution center, the packaging plant, or locally at the retailer itself. With transparency into what’s happening at every stage, you can make changes in real-time, and use this actionable data to manage it immediately. 

Identifying Trends and Challenges

Looking ahead, we can see how this structured data will be able to be tapped for unlimited data mining opportunities. Stakeholders will be able to analyze their raw data for insights based on location, seasons, suppliers, and more. A single centralized repository for quality control means you can work towards best practices, reducing waste, improving efficiencies, and saving serious money from your bottom line. 

The Future is Mobile & Cloud-based – and We See Change on the Horizon

The driver for all of this digital transformation is the combination of a single mobile application that allows you to get an immediate, accurate, consistent answer on the quality of fruit and vegetables and a cloud-based Big Data platform that allows you to make real-time, data-informed decisions. 

As a result, we predict a significantly larger market opportunity that will drive organizations towards providing higher quality produce, with less waste, and will make high-quality QC processes accessible to supply-chain segments such as the farming community, who have not been able to to perform QC on their own up until now. 

Want to see how the Clarifruit app works? Why not start for free, right here

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