Every customer,
their own salesperson.
Databot understands what customers are looking for in natural language, queries your live catalogue, filters out-of-stock items, and delivers 2–3 options with reasons. Raises average order value, conversion and satisfaction — without a human salesperson behind every chat.
"Trail shoes for hiking, max $80k".
It's not a filter, it's a conversation. The agent breaks down the query into use case, category, budget, size, brand, colour — and asks follow-up questions to narrow it down. Your customer doesn't search, they converse.
- Understanding of use, budget and constraints
- Contextual follow-up questions
- Supports natural language, slang and typos
- Memory across channels (WhatsApp ↔ Web)
trail-running + size=42 + price≤80000 + stock>0Live stock, real prices, no hallucinations.
Native integration with Shopify, VTEX, WooCommerce, Adobe Commerce, Jumpseller, Bsale and custom-built for your own e-commerce platform. The bot checks inventory before recommending — never offers something out of stock, never invents a price.
- Real-time catalogue synchronisation
- Automatic filtering of out-of-stock products
- Up-to-date prices and promotions
- Margin, priority and seasonality rules
- Custom attributes (size, colour, flavour…)
| SKU | Product | Stock | Price |
|---|---|---|---|
SLM-SC6 | Salomon Speedcross 6 | 14 | $74.990 |
ADD-TX4 | Adidas Terrex AX4 | 8 | $69.990 |
MRL-MB3 | Merrell Moab 3 | 2 | $78.990 |
NKE-PG6 | Nike Pegasus Trail 5 | 0 |
What goes together, sold in the same conversation.
After the recommendation, the agent suggests complementary items that actually fit: the socks for the shoes, the charger for the laptop, the replacement filter for the appliance. Rules you define, executed with a natural sales tone.
- Dynamic bundle based on main item
- Affinity rules by category or brand
- Cross-promotions with conditions
- Cart built inside the chat
What moves the needle.
Conversations with a recommendation close 32% more than average.
Average order value rises when the bot recommends and builds a bundle.
Visitors who were about to leave end up buying.
Attends at midnight, weekends and public holidays.
The customer doesn't wait to see options.
Knows everything you sell, not just the top 10.
Ready to turn every conversation into a sale?
We'll show you in 30 minutes a recommender working with your own catalogue.