Use case Sales AI & store operationsConvenience chain, 45 stores

How a convenience chain turned the till into its best salesperson.

Cashiers rarely suggested anything, and managers lost their mornings to checks and calls. Cortex put the right offer on the cashier’s screen and turned store issues into owned tasks.

The challenge

Promotions on the poster. Silence at the till.

Head office ran meal deals and bundles every month, but most shoppers never heard about them. Cashiers didn’t know which offer was live, and nobody tracked who asked.

Store managers spent their mornings on routine checks, chasing broken equipment and logging complaints across three systems.

Before Cortex

What the team saw first

  • Add-on attach9% of transactions
  • Cashier promptsNone
  • Manager mornings~90 minutes of checks
  • InstinctMore posters, more training

Same question. Different results.

The question“Which stores are missing their add-on targets, and what should each cashier say?”

Claude / GPT / Public LLMs

Uploaded file

1 sourceThe file you uploadedpos_transactions.csv

Answer

Add-on attach is 9% of transactions. Stores 6 and 19 are lowest. Consider more cashier training.

Just an answer.

Cortex AI

Connected intelligence

Cortex AI
  • Live basket
  • Promotion calendar
  • Offer acceptance
  • Cashier performance
  • Store traffic
  • Time of day
  • Weather
  • Competitor offers
  • Category margins
  • Store issues
  • Coffee in basket: offer sandwich
  • 41% say yes when asked
  • Stores 6 and 19 lowest

Answer

Say the offer at the till. When coffee is in the basket, the $4.99 breakfast sandwich gets a yes 41% of the time. I’ll prompt every cashier from the live basket.

A decision.

The offer worked. Nobody was saying it.

Sales AI reads the live basket from the POS, matches it to the current promotion and shows the cashier one short line to say. Every suggestion and every yes is logged, by cashier and store.

On the operations side, managers now speak issues to Cortex: a broken printer, a dirty restroom, a short delivery. Each becomes a task with an owner, and repeat failures get flagged.

What Cortex found

At the till and in the back office

Cashier screen · live basket

Coffee 16 oz · $2.29

Say it: “Breakfast sandwich, just $4.99 with your coffee?”

Accepted · +$3.20 · Maria +10 pts

This week’s leaderboard

1Maria · Store 1248%
2Jay · Store 742%
3Dev · Store 3139%
4Ana · Store 335%

Store issues, logged by voice

Printer, Register 2Second failure this month · replacement booked

RestroomHousekeeping dispatched · 10 min

Beverage delivery2 cases short · credit requested

Say it at the till. Log it once.

  1. A prompt on every till, tied to the live promotion and the basket.
  2. A weekly cashier leaderboard by store, with recognition for the top ten.
  3. One voice-first log for store issues, with owners and follow-ups.

By the numbers

Add-on attach rate9% → 16%in ten weeks
Extra sales+$2.6Ma year
Manager time back6 hoursper store, every week
MeasureBeforeAfter
Add-on attach rate9%16%
Extra add-on sales, annualized—+$2.6M
Acceptance when the offer is said out loud—41%
Manager time on routine checks, per week~8 hours~2 hours
Repeat equipment failures caughtAfter complaintsAt the second failure
Leadership takeaway

The cheapest growth is the offer you already pay for.

The deals were already there. Cortex just made sure someone said them.

Every unsaid offer is money left at the till. Saying it, every time, is a habit software can build.

How often does your best offer get said out loud?Book a demoSee all use cases
Next use caseHow a convenience chain learned which rebate wasn’t worth chasing
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Target implementation2–4 weeks
EnvironmentPrivate enterprise
Timeline depends on data readiness and integrations.

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