FOR MULTI-LOCATION RESTAURANT BRANDS

Know what happens at the counter, and what it costs you.

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 12

Cashier

Welcome in. Would you like to make that a combo today?

Guest

Maybe. What drink options do you have right now?

Root Cause Breakdown

Missed Add-On42%
Availability Friction31%
Checkout Friction27%

Store Performance Ranking

This week
1Store 08
83.1
2Store 12
79.4
3Store 19
76.0
4Store 27
72.8
5Store 34
70.6

Coach Store 12 This Week

Missed suggestive sell prompts are repeating at lunch, but greeting quality is improving.

Reinforce combo recovery
Review closeout phrasing
Track next 7 days

Revenue Leakage Drivers

5 stores
S7
S8
S9
S10
S11

Trusted by restaurant teams at

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See the moments behind the numbers.

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.

Conversation Signal

Storefox reveals the interaction that connected the guest moment to the outcome.

Cashier: We are out of the family meal, but I can help you build a similar order quickly.
Availability FrictionRecovery OpportunityCoach Store 19

The operating moments leaders usually cannot see clearly.

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.

Missed Add-OnNo Follow-UpCoach Next Shift

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?

Availability FrictionRecovery OpportunityMenu Guidance

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 FrictionDevice Follow-UpGuest Delay

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 StandardCloseout StandardConsistent

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 ConcernProduct QualityFollow-Up

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 RankingGap AnalysisAction Priority

Store Performance Ranking shows a 17-point spread between top and bottom quartiles.

HOW IT WORKS

A simple operating loop for multi-store teams.

1

Capture

Storefox records real guest interactions during ordering and checkout at the counter or pickup point.

Supporting Signal
Store
Shift
Trend
2

Organize

Those conversations are translated into standard restaurant metrics your team can review quickly.

Supporting Signal
Store
Shift
Trend
3

Compare

Operators can see trends by store, shift, issue type, and performance movement over time.

Supporting Signal
Store
Shift
Trend
4

Act

Store leaders get clear priorities for what to coach next, and teams can track progress week after week.

Supporting Signal
Store
Shift
Trend
INSIDE THE PRODUCT

Built for fast reading and faster action.

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

Revenue Leakage Drivers concentrated in 6 stores
Urgent Guest Risk Alerts open in 3 stores

Designed for the weekly operating rhythm.

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.

Review the highest-priority patterns
Coach the stores that need help first
Track movement over time
Review
Prioritize
Coach
Track

Weekly rhythm

Observation to action

FEATURED SUCCESS STORY

Featured story

Samosa Party improved frontline consistency across 40 stores.

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

WHY IT GETS USED

Built for operators who need a signal they can trust.

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.

See what your stores are really saying and doing.

Book a demo to see how Storefox helps restaurant teams improve revenue execution, guest experience, and store coaching across locations.