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Smart app predicts customers' orders



National wholesaler JJ Food Service has launched a smart app which can make suggestions based on previous shopping habits, resulting in a quicker, easier and more efficient shop.


Available for android phones, iPhones and tablets, the app uses three years worth of transactional data and employs machine learning technology to predict what customers need to order and suggest new or alternative products that may suit their business.

Chief operating officer at JJ Food Service Mushtaque Ahmed comments: “Now you can literally place your order in seconds. The result has been positive and we’ve already seen a significant increase in basket spend.” 

Behind the scenes, a second mobile app has been created enabling its drivers to use their mobile phones to know what to deliver, where and when instead of bulky hand-held devices. In addition, bluetooth temperature sensors have been added to the multi-temperature vehicles enabling the business to track real-time data via drivers’ phones.

JJ first launched its transactional website in 2008 and after five years, online sales accounted for 50% of turnover. Today, that figure stands at 63% of total group sales, and is growing.

Mushtaque adds: “It’s estimated that 76% of online shoppers will be using click & collect by 2017 making it more important than ever before to have an online presence.

“We are reshaping the way food distribution works, giving our customers more time to better serve their customers.”

View a short You Tube video on the new apps by clicking here.