Retail & E-Commerce
Inconsistent product data. A flood of customer inquiries. Returns without end.
Typical challenges
- Product data inconsistent across channels
- Flood of customer inquiries in the service center
- Returns management is costly and labor-intensive
- Product descriptions incomplete or outdated
- Supplier data arrives in a hundred different formats
What this costs you
Several FTEs dedicated to product data maintenance. Service tickets piling up. Returns caused by incorrect product information. Content creation for thousands of items done by hand.
What’s possible with AI
- Product data agent: automatically enrich and validate attributes
- Smart customer service: automatically classify and answer inquiries
- Content generation: automatically create product descriptions
- Automatic categorization: sort products into your taxonomy
- Returns analysis: spot patterns and act preemptively
Relevant references
- Otto — real-time product data and push notifications
Matching entry offers
- Product Data Check: have your product data process analyzed
- Inbox Check: review email automation for customer service
How we solve these challenges in your industry
Business CaseData PlatformsData trapped in silos, reporting takes days, AI initiatives fail because of poor data quality.Business CaseAutomatically Extract Product Data from Data Sheets & ImagesData sheets and images have to be reviewed by hand, attributes are missing or deviate from the standard without anyone noticing.
Where this already works
Otto, Tchibo — Retail & E-Commerce
Products & Platforms at Otto and Tchibo
Result: Millions of push messages in real time, product data enriched automatically
How to get started
Free, 30 minutes, concrete potential for your industry.
Start Product Data Check