01
Hunting down stores that haven't reported
Jumping between group chats, email, and shared folders to find which store's closing report is missing — then following up.
Waiting on each store's closing report, pasting POS and delivery-app figures into spreadsheets, chasing down numbers that don't add up? Ctrl-M diagnoses your HQ's repetitive work and connects it to RestoGenie. We validate one task on real data first, then scale only what's proven to the brand and every store.
1 task
Start with the most repetitive
1–3
Validated in pilot stores
30 days
Proven on live operations data
One screen
Brand & store performance unified
Every store reports at a different time in a different format, and when a number is missing, someone has to chase it down. The HQ report is only finished once all the data is in. It's familiar — but it doesn't have to be done by hand.
01
Jumping between group chats, email, and shared folders to find which store's closing report is missing — then following up.
02
Copying sales, delivery, ad, and staffing data in mismatched formats, then re-aligning column names and number formats.
03
When POS sales and settlement figures don't match, you call the store — and the report stalls until they reply.
This isn't a project to replace your POS or delivery apps. RestoGenie gathers each store's data on the same basis, and HQ only reviews the stores with gaps or anomalies. You spend less time producing reports and more time deciding which store to support first.
Unified Performance
POS and delivery-channel sales, organized by brand, store, and channel — compared on a single screen.
Exception Check
Surfaces the stores worth checking first — missing reports, sharp sales swings, settlement gaps.
SV Priority
Sales declines, recurring reviews, and operational anomalies together — so you decide which store to support first.
Manual & Q&A
HQ notices and operating manuals are connected, so store questions get the same consistent answer.
STEP 1
Which team receives which file, who edits the numbers, and where it gets reported next.
STEP 2
Starting with a report that takes the most time and is shared across teams, we set the data basis and automation scope.
STEP 3
Run it on real data from 1–3 pilot stores and measure how much collection time and how many gaps were cut.
STEP 4
Once it's proven, we define permissions, closing rules, owners, and exception handling — then roll it out to every store.
Find the Manual Work
We walk through the spreadsheets and reporting flows that ops, finance, marketing, and supervisors each manage separately.
Team interviews · file flows · priorities →
Automate One Report
We change one task many people repeat first — like per-store sales roll-ups or settlement reconciliation.
1–3 stores · 30-day HQ validation →
Make It the Standard
With HQ owners, we set closing times, data basis, permissions, and exception handling — then scale to every store.
Operating rules · owner training · results →
Per-store sales roll-ups, checking for missing reports, settlement reconciliation, merging supervisor reports — tell us what you repeat daily or weekly, and we'll look at where to start cutting it.
Request a call
5 min
Tailored demo
within 1 week
30-day PoC
free
* Consulting scope and PoC timelines may vary depending on brand size, connected systems, and data readiness.
* Features, UI, and timelines on this page reflect beta operation; actual development may differ as it progresses.