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.
為什麼選擇 Uber AI 解決方案應用於零售業?
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.
在各市場擴展 AI 規模
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.
常見問題
What retail AI use cases does Uber AI Solutions support?
Uber AI Solutions supports a wide range of applications, including shelf recognition, product matching, catalog enrichment, barcode extraction, pricing, promotions, and store-audit workflows.
Can Uber AI Solutions support multimodal retail AI?
Yes. Uber AI Solutions supports images, video, text, and other data types used in retail AI workflows.
Uber AI 解決方案如何協助零售業者隨著時間優化人工智慧?
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.
讓我們一起打造更優質的人工智慧
Tell us about your retail project. We'll show you the data that gets you there.
截至 2026 年 3 月