Predictive analytics running shops

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Energy usage accounts for 60% of the operational carbon costs in running shops. In with its 2020 vision for sustainability, Sainsbury’s set in motion a series of CSR strategies. A revamped refrigeration strategy prioritised carbon reductions, although not necessarily reduced costs.

sainsburys

Fridges and freezers were all fitted with devices to monitor performance (primarily energy usage and temperature). This information, pushed every 15 seconds, provided an alarm strategy so that any unit that strays from its optimal temperature can be identified immediately. This systematic approach ensures that all food types are kept at the right temperature for as long as possible, so that customers always receive the freshest goods.

Sainsbury’s then transitioned from active management to predictive management. With the data being produced by refrigeration units, it was possible to identify which types of cabinet performed best, which refrigerants are most efficient, and to predict which units would need to be serviced and/or have parts replaced. In this way, Sainsbury’s could stay ahead of the curve and react before technical failures caused serious losses.

Data and digital technology is being used to deliver solutions to business problems making it Better for customers ( more environmentally friendly and always available fridge and freezers) Simpler for colleagues in store ( central predictive control means fridges are never down and have to be emptied and repaired) and Cheaper for the organisation ( less energy, better refrigeration contracts less stock wasted)

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Author: mannmannandrew

Throughout my career I have been about building strong commercial relationships across an organisation, enabling and building data driven capability and leading teams encouraging them to develop industry leading solutions for customers. Ideas develop from collaboration, listening, observing and learning

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