Personalization and platform work for retail and e-commerce
For an online retailer, a major retail brand and a leading e-commerce platform.
- Enterprise AI
- Recommendations lifted an online retailer's sales by 20%, and a major retail brand's campaigns convert 25% better.
- Digital Transformation
- Test automation cut post-release bugs by 60% for a leading e-commerce platform.
Case studies
- An online retailer
Retail/Client under NDA
An online retailer grew sales 20% with recommendations and page content tuned to each customer segment.
20%
More sales, with higher engagement
- A major retail brand
Retail/Client under NDA
A major retail brand lifted campaign conversion 25% with a personalization engine running across every marketing channel.
25%
Higher conversion, with more repeat purchases
- A leading e-commerce platform
E-commerce/Client under NDA
An e-commerce platform ships 60% fewer post-release bugs since automated tests went into its release pipeline.
60%
Fewer post-release bugs
Tell us which system the AI has to run inside
If that system is not ready for AI yet, tell us that too. An engineer will reply and say plainly whether we are the right firm for it.