Use each dealer’s own ordering pattern to spot a possible follow-up, then check open orders, returns and current demand. Suggest another product only when it fits the dealer’s customers and you can supply it. An overdue interval is a reason to ask, not proof of lost business.
Start with a question, not an offer blast
“Pichhla lot kaisa chala? Agla order kab plan kar rahe hain?” This is more useful than sending every dealer the same catalogue. The answer may reveal slow sales, a pending replacement or a change in the dealer’s customer mix.
Make one row per dealer and product family. Record the last few order dates, quantities, returns, pending deliveries and the last conversation. A dealer buying uniforms before school reopening needs a different follow-up pattern from one replenishing everyday innerwear.
Turn history into a review list
These fictional examples use completed orders. The intervals are observations, not predictions.
| Dealer | Recent order gaps | Days since last order | Next check |
|---|---|---|---|
| Dealer A: everyday basics | 14, 16, 15 days | 23 | Ask about remaining stock and next requirement |
| Dealer B: festive wear | Seasonal bulk order | 60 | Check the coming season’s buying date |
| Dealer C: mixed garments | 7, 8, 7 days | 12 | Resolve an undelivered balance first |
Dealer A’s middle interval is 15 days. Today’s gap is eight days longer. That makes a conversation worth reviewing; it does not mean the dealer has stopped buying. Dealer C already has an outstanding delivery, so another sales call may miss the real issue.
A missing category is only a candidate
Suppose Dealer A buys basic T-shirts but no leggings. Check whether the shop serves customers who would buy leggings, whether another brand already fills the need, and whether the proposed sizes and price band fit. If none of this is known, ask before making a recommendation.
Useful evidence might be a previous enquiry, a sample request or the dealer’s own description of demand. Other dealers’ baskets can suggest questions, but should not be presented as proof that this dealer needs the same mix. Keep commercially sensitive customer details out of the conversation.
Check what you can actually supply
Available stock is different from a shelf count when units are reserved for existing orders. Confirm the relevant size, colour, pack quantity, price and likely dispatch date. Odoo’s replenishment documentation illustrates why future demand and lead time affect stock planning; a last-sale date alone cannot establish availability.
Keep quantity suggestions modest until the dealer confirms demand. A possible small trial should have explicit terms, rather than an invented forecast of how quickly the goods will sell.
Close the loop on each conversation
Use the columns: dealer, reason for follow-up, suggested category, stock checked at, salesperson, next date and result. Results can include ordered, later date agreed, no current need, price objection or service issue.
Review these reasons before increasing the number of calls. Repeated service complaints need operational attention. Seasonal deferrals need a calendar reminder. For a future assistant workflow, this list could be prepared for the salesperson to review. It should not imply that Dhandha GPT currently sends offers, predicts dealer demand or places orders automatically.
Questions you might ask
How do I identify a dealer who may be due to reorder?
Compare the current gap with that dealer’s previous comparable orders. Then check seasonality, open deliveries and the last conversation.
Can purchase history prove a dealer needs another category?
No. It can suggest a question. Confirm customer fit, price band, existing supply and the dealer’s interest before proposing products.