Independent supermarkets

Your store is generating
more signal than
you're capturing.

ShelfOps turns your daily sales, labour, stock and customer data into a single manager briefing — prioritized actions, not raw reports.

$711K average weekly sales per US supermarket
2% average net margin vs 7% for big chains
45,575 US supermarkets outside the big-box orbit
The product

The Daily War Room

Every morning, your manager gets a briefing — not a dashboard to interpret, but a list of what needs attention and why. Ranked by impact. Ready to act on.

Manager Briefing — May 28, 2026 Miller's Market, Flagstaff AZ
01
Restock produce endcap — 3 SKUs below threshold Avg basket impact: +$18  |  Last restocked 4 days ago
High
02
Labour gap: 3pm–7pm understaffed by 1 — checkout delays likely Wed same hour last month: 12min avg queue  |  Suggest call-in
High
03
Sales opportunity: organic milk selling 40% above forecast Replenishment order not placed — order today or risk stockout Fri
Med
04
Checkout lane 2 hardware issue — reboot required daily, replace scheduled Impact: ~$340/hr in slow periods  |  IT ticket #48921
Med
05
Customer LTV trending up — email loyalty promo to top 200 customers Potential uplift: +$1,200/wk  |  Segment: high-frequency, high-basket
Low
How it works

Four inputs. One briefing.

ShelfOps connects to your existing systems — POS, scheduling, inventory, loyalty — and turns the noise into a daily priority list.

Sales Signals

Hour-by-hour revenue, basket size, category performance, and trend anomalies. When something is running hot or cold, you know before the day is over.

Labour Signals

Scheduling data against actual foot traffic. Identifies productivity gaps, overstaffed quiet hours, and understaffed rush windows — with replacement suggestions.

Stock Signals

Availability gaps, overstock, and replenishment timing. ShelfOps flags what is running low, what is over-ordered, and when to act — before the store feels it.

Customer Signals

Loyalty data, visit frequency, basket composition, and churn risk. Identifies high-value segments, cross-sell opportunities, and customers worth a personal touch.

The differentiator

Reports tell you what happened.
ShelfOps tells you what to do.

Every other tool shows you data. ShelfOps turns that data into a ranked to-do list with reasoning — so managers spend their time running the store, not deciphering spreadsheets.

3 min average daily briefing time for a store manager
4 signals aggregated into a single daily view
1 action plan ranked by revenue impact, updated daily
What ShelfOps surfaces automatically
  • Understaffed shifts with recommended call-ins
  • Stock gaps before the shelf goes empty
  • Sales opportunities in your own data you're missing
  • Labour productivity gaps vs. same day last year
  • Availability issues flagged by real-time POS data
  • Loyalty customers worth a personal outreach
  • Operational priorities ranked by financial impact
SHELF OPS

Independent stores deserve the same intelligence that chains spend millions on.

ShelfOps is built for the owner who knows their store inside out but doesn't have a data science team. It works with what you already have — and tells you what matters most today.