Coop

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Coop has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Key partners include Gimasi, Swisscom.

Use Cases

Industries

Countries

Hyperscaler mix

See whether Coop's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Coop builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this company's documented cases

100%

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Use case portfolio

Use case types at Coop

Demand forecasting leads with 1 of 2 documented cases; 1 distinct type appears across the visible portfolio. 1 of 2 visible cases have a canonical type.

Ranked by documented casesShare of visible cases

Demand forecasting1 case50%

Browse type directory

Technology snapshot

What Coop uses across visible cases

7 named technologies are mentioned across 2 cases, led by AI.

Capability mix

No capability flags are attached to these cases yet.

Technologies mentioned

AI1 Azure IoT1 BigQuery1 Google Kubernetes Engine1 SAP1 Vertex AI Forecast1 Vertex AI Workbench1

All Use Cases (2)

GCP

Coop reduces food waste by forecasting with Vertex AI and BigQuery

Coop, a Swiss retailer and cooperative, used Google Cloud to operationalize machine-learning forecasting for demand planning based on supply-chain seasonality and expected customer demand. The team moved from an on-premises workstation setup to Vertex AI Workbench and Vertex AI Forecast, with BigQuery and Google Kubernetes Engine supporting the broader data science platform. The goal is to improve forecasting accuracy, support distribution centers, and reduce food waste across Switzerland.

RetailMar 2023

Microsoft

Swisscom IoT and AI-powered Cold Chain Monitoring for Coop

Coop partnered with Swisscom and Gimasi to develop a digital solution for real-time monitoring of temperature in food cold chain logistics ensuring food safety.The manual and error-prone cold chain temperature controls previously used were automated with IoT sensors transmitting real-time data for immediate alerts on deviations.Swisscom's Low Power Network enabled reliable transmission of temperature data through sales and logistics points, integrating with Coop's IT to improve operational efficiency and food safety.

Logistics

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