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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.
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.
Example vendors
This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.