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AI USE CASE
Cross-sell & upsell recommendations
Surface the right next-purchase suggestion for every customer, in real time.
What it is
A recommendation model trained on transaction history, browsing behaviour and product affinity feeds personalised next-best-product suggestions to your e-commerce site, app and CRM. Boosts average order value 8–15% and gives sales reps concrete talking points for account reviews.
Data you need
12+ months of transactions and product catalogue with attributes.
Required systems
- crm
- ecommerce platform
- data warehouse
Why it works
- Hybrid model combining collaborative + content-based
- Live inventory check before showing recommendations
How this goes wrong
- Cold-start problem for new customers ignored
- Model recommends out-of-stock items
When NOT to do this
Don't deploy on a catalogue smaller than 200 SKUs — manual merchandising wins.
Vendors to consider
This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.