Retailers lose sales when stock data is wrong: items show in stock online but not on shelves, or sit in the back room while customers leave. Here's a copywriting template for selling a stock visibility solution.

The structure: problem โ†’ cost โ†’ proof โ†’ question

  1. Problem: a specific stock visibility symptom
  2. Cost: what it costs them (lost sales, markdowns, labour)
  3. Proof: a similar retailer's result
  4. Question: easy next step

Template

Subject: phantom stock at {company} Hi {first_name}, When store counts say an item is in stock but shelves are empty, online orders get cancelled and customers walk out. For {category} retailers that's often {x}% of sales. {Similar_retailer} got store-level accuracy to {y}% in {timeframe} with {product}, and cut cancelled click-and-collect orders by {z}%. Worth seeing how it would work across your {n} stores? {signature}

Variations by role

RoleAngle
Head of OperationsLabour hours on manual counts
Ecommerce DirectorCancelled online orders, BOPIS failures
CFOInventory carrying cost, markdowns
Store OpsShelf gaps, customer complaints

Follow-up

Hi {first_name}, one quick way to check: compare online "in stock" items with a shelf walk in one store. Happy to share the 10-minute checklist.

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Frequently asked questions

How do you write a cold email about stock visibility?

Name a specific symptom (phantom stock, cancelled online orders), quantify the cost, add proof from a similar retailer and ask an easy question.

Who buys stock visibility solutions in retail?

Operations, ecommerce and store operations leaders, with finance involved for larger investments.