Your product catalogue has 2,000 SKUs. Your rep is talking to a design engineer at a German EV OEM about a new BMS application. Which 3 products should they mention? Without AI, they rely on memory, instinct, and what they happened to demo last week. With VynDeal's AI Product Recommender, they get real-time, context-aware suggestions the moment they open the lead.

3.2×
Higher deal value when AI product suggestions are followed vs rep intuition alone
28%
Average increase in quote line items after AI recommender adoption
2000+
SKUs analysed in real time against customer context

How the Recommender Works

🎯 AI Product Recommender — Logic Flow

1
Context reading

AI reads: customer industry (EV), application (BMS), current products in discussion, previous purchases if existing customer, stated volume and timeline.

2
Catalogue matching

Matches context against your full product catalogue. Considers: technical fit, application suitability, price range alignment, stock availability, margin.

3
Ranked recommendations

Returns top 5 products with: product name, why it fits this application, brochure link, datasheet, typical deal size for similar customers.

4
Cross-sell triggers

"Customers buying reed switches for BMS also typically need Hall sensors for current sensing. Add to quote?" One click to include.

⚡ AI Product Recommender: Included in Growth plan

The world's first AI CRM for manufacturing

20 AI features. +₹100/user/month. One recovered deal pays for years of subscription.

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