A buyer pitch with store data, not a generic sell sheet
Run an AI analysis of a principal’s product against the exact store a buyer manages, then hand them a pitch built on that store — not the same PDF every retailer gets.
Start with 5 free analyses — no credit card required.
Who it is for
- Independent food brokers carrying several principal lines
- Broker account managers who pitch regional and independent grocery buyers
- Small brokerages that need consistent pitches without a design team
Illustrative example
Illustrative example — not real customer data.
- Product: Sparkling prebiotic soda, 12 oz can, 4-pack
- Buyer: Grocery category buyer at an independent natural-foods store
- ZIP: 78704 (Austin, TX)
- Fit: Strong — the store’s shoppers over-index on better-for-you beverages.
- Competition: Two prebiotic soda brands already on shelf; gap in a lower-sugar citrus flavor.
- Pricing: Suggested shelf price $9.99 per 4-pack, in line with the category leader.
- Placement: Cold case at eye level next to kombucha, plus an end-cap during launch month.
What the analysis returns
- Fit: How well the product matches the store’s shoppers and assortment.
- Competition: Which competing products are on shelf and where the gaps are.
- Pricing: A suggested shelf price and promo angle for that market.
- Placement: Where in the store the product should sit to sell.
Price
Pro is $99 a month (regularly $149 — save 34%). Every account starts with 5 free analyses, no credit card required.