Optimizing refrigeration-unit efficiency using AWS with Delivery Hero
Delivery HeroAWS IoT Core · Amazon QuickSight · Amazon Q in QuickSightDelivery Hero built an IoT solution on AWS IoT Core and Amazon QuickSight, deploying Amazon Q in QuickSight as a generative AI assistant that lets store managers ask natural-language questions about energy usage, reducing global Dmart electricity usage by 14% (about 10.9 GWh saved) and cutting individual store utility costs by 11-14%.
Overview
Delivery Hero built an IoT solution on AWS IoT Core and Amazon QuickSight, deploying Amazon Q in QuickSight as a generative AI assistant that lets store managers ask natural-language questions about energy usage, reducing global Dmart electricity usage by 14% (about 10.9 GWh saved) and cutting individual store utility costs by 11-14%.
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Inspect the highlighted sourceThe challenge
As the assortment of fresh and frozen food items in Dmarts steadily expanded, utility usage also rose. To reduce energy usage and meet sustainability goals, Delivery Hero wanted to provide actionable insights for store managers that would help them optimize the efficiency of their refrigeration units.
The solution
Delivery Hero developed an IoT solution with AWS Professional Services, using AWS IoT Core to collect refrigeration sensor data and Amazon QuickSight dashboards, including Amazon Q in QuickSight as a generative AI assistant that lets store managers ask natural-language questions about energy usage.
Reported business value
Dmarts using the solution reduced their utilities costs by 11-14 percent, the company achieved a 14 percent reduction in global Dmart electricity usage (about 10.9 GWh saved and roughly 4,915 tons of CO2 avoided), and stores using the solution increased their food compliance rates by 17 percent.
Sources
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