MERA // MARKETPLACECommerce OS · Intelligence · Growth
B2B··1 min read

Case Study: 500 Dealers, 10,000 SKUs and WhatsApp Orders

A modeled case study of a mid-size distributor at the operational ceiling — and how Mera would turn WhatsApp chaos into a B2B portal.

#B2B#dealers#case study#modeled

This is a modeled case study of a distributor running 500 dealers and 10,000 SKUs.

The scenario

  • Dealers: ~500 active
  • SKUs: ~10,000
  • Orders/day: 100–200, mostly via WhatsApp
  • Team: owner + salespeople + a billing clerk
  • Current state: WhatsApp groups, Excel price lists, ledger-based credit

The chaos

| Reality | Consequence | |---|---| | 200 WhatsApp orders re-typed | Errors + lost orders | | Dealer-specific prices in memory | Quotation mistakes | | Credit tracked in a ledger | Over-limit dealers slip through | | No reorder cadence | Salespeople chase everyone or no one | | Manual dispatch | Delays + no tracking |

What Mera would do

  • Portal replaces WhatsApp — dealers order from their own login
  • Price lists auto-apply — dealer tier + product + MOQ
  • Credit engine — limit check at order time, aging alerts
  • Auto dispatch — picklist → invoice → delivery note
  • AI reorder follow-up — "dealers not reordered in X days" list, auto-triggered

The KPI shift

  • Order entry errors: near zero (portal, not re-typing)
  • Credit losses: visible before they happen
  • Reorder rate: systematic follow-up instead of luck
  • Salesperson time: from order-taking to relationship-building

At 500 dealers, a portal isn't a luxury — it's the only way the model scales without tripling headcount.

Mera Commerce OS

What would this cost to run on Mera?

This is a modeled case study — not a customer claim. Want to see the actual architecture, automation and cost for a distributor with 500 dealers? Book a free Commerce OS assessment.

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B2B distribution — running this problem today?

Dealer portals, customer-specific pricing and credit workflow — replace WhatsApp + Excel ordering.

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