Optimize your physical retail environment with data collection and annotation
Collect verified retail data, run secret shopper-style audits, and improve retail AI models with shelf-level annotation and catalog validation.
Why Uber AI Solutions for retail?
Gain timely access to your store ground truth leveraging our global network of over 10 million contributors who can help meet your retail-specific requirements, while providing precision and speed.¹
Gain eyes-in-the aisle intelligence
See how stores are executing, what your customers see, and the real-life in-the-moment competitive field to respond faster.
Keep pace with retail operations
Develop AI that’s built for your specific products, stores, and customer behaviors so models stay effective as your retail use cases evolve.
Scale AI across markets
Equip AI for variations across geographies, languages, and customer demographics leveraging our global scale.
Collect training data, human checks, and evaluation signals to strengthen retail AI
Complete retail execution audits
Conduct fast, photo-backed audits for shelf conditions, pricing, promos, coolers, planograms, and store standards.
Prepare data with computer vision annotation
Catch edge cases and utilize retail shelf annotation to solve for occlusion, blur, framing, barcode extraction, and gaps.
Streamline retail machine learning (ML) data operations
Use catalog enrichment, multimodal attribute validation, product matching, and structured QA for retail AI teams.
常见问题
Uber AI解决方案支持哪些零售业AI应用场景?
Uber AI Solutions supports a wide range of applications, including shelf recognition, product matching, catalog enrichment, barcode extraction, pricing, promotions, and store-audit workflows.
优步 AI 解决方案可以支持多模态零售人工智能吗?
Yes. Uber AI Solutions supports images, video, text, and other data types used in retail AI workflows.
How does Uber AI Solutions help retailers improve AI over time?
Uber AI Solutions supports ongoing data collection, quality assurance, and evaluation so retail AI models can be retrained and validated as products and store environments change.
让我们共同打造更出色的人工智能
Tell us about your retail project. We'll show you the data that gets you there.
¹As of March 2026