Revenue Execution
See where teams miss add-ons, upgrades, combos, and on-menu recovery moments during live ordering interactions.
Suggestive Sell Attempt Rate up 8.6 pts
Storefox captures guest interactions during ordering and checkout, then surfaces missed add-ons, guest friction, and coaching opportunities across every location.
Live Stores
48
+4
Captured Interactions
12,846
This week
Execution Score
78.4
+6.2 pts
Missed Sell Rate
14.3%
-2.1 pts
Conversation Log
Store 12Cashier
Welcome in. Would you like to make that a combo today?
Guest
Maybe. What drink options do you have right now?
Root Cause Breakdown
Store Performance Ranking
This weekCoach Store 12 This Week
Missed suggestive sell prompts are repeating at lunch, but greeting quality is improving.
Revenue Leakage Drivers
5 storesTrusted by restaurant teams at
Sales reports, reviews, refunds, and field visits all matter. Storefox adds the missing operating layer: the real interaction at the counter that shaped the outcome.
With Storefox, operators can see where execution is strong, where guest friction is repeating, and where store leaders should coach next.
Sales
Daily totals point to the result after the shift ends.
Reviews
Guest sentiment shows up later and without full context.
Refunds
Recovery requests signal friction after it has already happened.
Field Visits
Manual observations are helpful, but they do not scale to every counter.
Storefox reveals the interaction that connected the guest moment to the outcome.
Storefox makes transcript-driven signals easy to review by store, shift, and pattern, so operators can coach from evidence.
Missed add-on and upgrade opportunities
Spot when teams skip natural attach prompts and recover the right behavior faster.
Cashier: Anything to drink with that? Guest: No thanks. Cashier: Great. Next guest please.
Suggestive Sell Attempt Rate is trailing at lunch in Store 12.
On-menu availability friction
See which locations create friction when an item is unavailable and which response patterns need work.
Guest: Do you have the family meal? Cashier: No, we are out. Guest: What can I get instead?
On-Menu Availability Friction is repeating in three stores after 5 p.m.
Checkout and payment slowdowns
Track slow closeouts and payment confusion before they turn into a repeat guest complaint pattern.
Guest: Can I use Apple Pay? Cashier: One second. I need to restart the reader.
Checkout Friction Rate increased 1.4 pts in pickup-heavy stores.
Greeting and closeout consistency
Review whether teams are opening and closing the interaction the way the brand expects.
Cashier: Welcome in. Guest: Thanks. Cashier: Your order is all set. Enjoy the rest of your day.
Greeting Standard is now above 30% in 18 stores and climbing.
Repeat guest concerns by store and shift
Compare issues by location and daypart to see where the guest experience needs cleaner follow-through.
Guest: My shake was thinner last time too. Cashier: I can remake it right away for you.
Guest Concern Rate is concentrated in two late-night shifts.
Performance gaps between locations
Make the differences between stores visible enough to discuss and coach with confidence.
Store 7 logs consistent combo prompts while Store 18 skips them on back-to-back peak windows.
Store Performance Ranking shows a 17-point spread between top and bottom quartiles.
Storefox records real guest interactions during ordering and checkout at the counter or pickup point.
Those conversations are translated into standard restaurant metrics your team can review quickly.
Operators can see trends by store, shift, issue type, and performance movement over time.
Store leaders get clear priorities for what to coach next, and teams can track progress week after week.
Executive Overview
Get a clean view of captured interactions, execution score, issue rates, and opportunity areas across the business.
Live Stores
48
+3
Captured Interactions
12,846
This week
Device Uptime
98.7%
+0.9 pts
Frontline Execution Score
78.4
+6.2 pts
Live Stores
48
Captured Interactions
12,846
Device Uptime
98.7%
Frontline Execution Score
Storefox is built to help operators move from observation to action. Review the signal, choose the top priorities, coach the right stores, and track whether execution improves.
Weekly rhythm
Observation to action
Featured story
In four months, Samosa Party used Storefox to improve suggestive sell behavior, strengthen greeting and closeout consistency, and create stronger store-level accountability across its network.
40 stores
4 months
+14.7 pts suggestive sell execution
+20.5 pts greeting standard
+16.3 pts closeout standard
Standard metrics from day one
Teams can start with clear restaurant-ready definitions instead of building a taxonomy from scratch.
Store-level evidence
Leaders can review real interactions and see exactly where patterns are concentrating.
Actionable every week
The product is designed to fit the real operating cadence of multi-location restaurant teams.
Strong fit across counter-led formats
QSR, fast casual, cafes, bakeries, beverage brands, dessert chains, and pickup-led restaurant concepts.
Book a demo to see how Storefox helps restaurant teams improve revenue execution, guest experience, and store coaching across locations.