Supr Daily
Delivery verification
Staff reviewed just 5% of delivery photos. AI now validates every image in 350ms, catching blurry proof instantly.
- 95% accuracy in item recognition
- 25% reduction in forecast error
Logistics relied on backward-looking data. Real-time AI routing now cuts driver idle time by 50% and hits 95% on-time delivery.
Latin America's leading online food delivery platform, managing 39 million monthly orders across 220,000 restaurants and 170,000 registered deliverymen.
Decentralized AI initiatives were limited to retrospective analysis, preventing the company from using its massive data volume to automate real-time...
“There were already AI initiatives in the company, but they were not centralized, and were used basically to answer to questions on business areas.”
Online food delivery and grocery marketplace platform in Brazil.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Staff reviewed just 5% of delivery photos. AI now validates every image in 350ms, catching blurry proof instantly.
Pandemic growth overwhelmed a single data cluster. Decentralized AI now trains supply chain models 90% faster, reducing inventory waste.
Updates under 30 lines sat for 65 hours. Gemini now auto-approves safe changes, saving 70k developer hours monthly.
Pandemic growth overwhelmed a single data cluster. Decentralized AI now trains supply chain models 90% faster, reducing inventory waste.
Retailers relied on chain-wide averages. AI now predicts daily sales for each store, optimizing stock levels and reducing waste.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
Silos hid the true cost of delays. Now, AI weighs crew, cargo, and passenger factors to calculate optimal recovery plans in real time.