<img src="https://secure.leadforensics.com/133892.png" alt="" style="display:none;">

In today’s business world, big data and analytics are transforming nearly every industry, and fresh produce industry is no exception.

Challenged by stringent food safety regulations, fear of product recalls, disparate supply chains and quickly perishable goods, the produce industry can leverage data and analytics to effectively mitigate these risks, improve safety and maximize the yields. New age technologies can help bring more visibility and transparency into the operations right from farm to fork to ensure right produce availability to the right stakeholders, delivered at the right place at the right time.

In this blog, we will take a look at three areas on how recent technology advancements, data and analytics are transforming the way produce companies operate and the benefit they receive thereof.

Remote sensor technology:

With the help of remote sensors and telematics, companies can monitor the quality of produce across its journey from the field-to-fork. Mission-critical data of any activity across the supply chain is captured real-time about the threshold violations and corrective actions are taken immediately to reduce the spoilage and that way technology provides for improved traceability and improved productivity.

Data and analytics:

Big data and analytics is termed as the wave of the future in food industry. Big data-driven analytics enhance the decision-making capabilities in the areas of pricing, supply chain transparency, optimization of consumer experience, analyse temporal and seasonal characteristics of consumer behaviour and demand forecasting. Data across the supply chain is captured and integrated into relevant machines or systems that are connected to a particular operation helping to make faster and smarter business decisions.

Sorting technology:

Produce companies can gain the advantage of increased uptime with high-end sensor technologies for fresh produce. Today’s sorting technology is an amalgamation of robust mechanical architecture, advanced detection of produce quality, machine intelligence and automation, and analytics. Immense benefits arise out of it, some of them include reduction of food waste, improved productivity and shortened processing times.

Produce companies with the adoption of technology, data and analytics have started to realise cost efficiencies, improved quality of produce, along with traceability accuracies and therefore are able to meet the customers’ demands and expectations Now is the right time for companies to adopt these new technology advancements and reap the benefits that arise out of it.

Put Columbus produce industry and ERP experts to work for you

Ready to take the next step? Columbus produce industry clients include leading enterprises that embark on global transformation initiatives as well as growing organizations that look for greater efficiency or want to boost their business viability.

CTA-produce

Topics

Discuss this post

Recommended posts

Improve efficiencies and data accuracy in your food manufacturing business with an integrated pack station solution. After logging into a terminal, the shop floor worker can call up open production orders and report production outputs, either one box at a time (for random weight or serialized box items) or for a quantity that was produced:
Mandatory serial tracking in the food industry: What's the ETA? Serialized Box Tracking, a common, longtime practice in the beef and poultry industries, could become a requirement across the entire food space. 
Cloud computing is growing at an exponential rate and it's become a vital ingredient in the food and beverage industry. Moving to the cloud can certainly help you build an efficient business structure. Businesses are seeking that extra visibility into their real-time data to build better demand forecasts and reduce excess inventory.  
right-arrow share search phone phone-filled menu filter envelope envelope-filled close checkmark caret-down arrow-up arrow-right arrow-left arrow-down