Which dealers should be selling which SKUs but aren't? Quantify the gap.
Which dealers should be selling which SKUs but aren't? Tick what each dealer actually stocks; every empty cell is quantified white space, sized by that dealer's volume — and sorted into an action list.
Tick what each dealer actually stocks. Unticked cells are your white space, sized by dealer volume.
| Dealer | Core SKU 1 | Core SKU 2 | Premium SKU | New launch |
|---|---|---|---|---|
₹5 L/mo | ||||
₹3 L/mo | ||||
₹1.6 L/mo |
Build the dealer × SKU matrix from your secondary sales data. Unticked cells are gaps.
Each gap is sized: the SKU's average per-dealer monthly sale, scaled by the dealer's volume versus the average dealer.
Output: total monthly opportunity, priority dealers (biggest missing value), and the top five place-this-SKU-here actions.
Illustrative figures, not a client outcome.
Your secondary sales reports. If you don't get secondary by dealer and SKU, that is the first problem to fix — the scorecard tool's data gate exists for exactly this.
No — slow SKUs in weak outlets create expiry and complaints. The tool quantifies gaps; judgment decides which deserve filling.
Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.
White space this clear deserves a plan. Let us build the coverage model.
BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.