“What's today's revenue?”
One line — that's all.
POS, 5 delivery apps, ads, settlements, and staff data — answered in natural language. Chat is the primary interface for store operations.
What would you like to know?
Sales analysis · Menu recommendations · Ops optimization · Foot traffic
Ask anything.
If this is your daily reality, RestoGenie is the answer.
- 01 ─5+ systemsData scattered everywhere
- 02 ─0% dataOperations run on gut feel
- 03 ─Avg. 18% ↑Unpredictable costs
- 04 ─3 hrs/dayRepetitive admin work
“What's today's revenue?” One line — that's all.
POS, 5 delivery apps, ads, and staff data — answered in one reply. Click a question on the left.
* The live product demo is shown during your sales call.
Same question, different answers.
Without attachments, general-purpose AI stays generic. RestoGenie learns from your POS, delivery apps, ads, manuals, and AI Vision data in real time — purpose-built for restaurants.
“Anything unusual about last week's sales? Tell me why and what to do.”
General-purpose AI (free)
e.g. ChatGPT Free · Gemini Free
From the data you shared, Wednesday was down 22% and Sunday down 43% versus the weekly average. Slow days usually come from external factors (nearby competition, local events, weather) or internal ones (understaffing, popular items out of stock). Common quick fixes are day-of-week promos and a social-ad push; longer term, it helps to build day-specific menu features.
⚠ Analysis limited to attached files · no access to HQ standards, external events, AI Vision, or live DB
General-purpose AI (paid)
e.g. ChatGPT Plus · Gemini Pro
You have two anomalies — Wednesday -22% and Sunday -43% — and the Sunday number is unusual because it's 30% below your worst weekday (Wednesday at 540). First, rule out simple POS data issues or shortened hours that day. Pull the daily log and raw POS report before chasing weather, events, or competitor promos — those analyses are far more useful once the data is clean. The CSV alone can't separate those layers for me.
⚠ Analysis limited to attached files · no access to HQ standards, external events, AI Vision, or live DB
RESTO GENIE AI
Restaurant-trained · live store DB
Last week's revenue $4,840 (-7% WoW). Two anomalies flagged.
| Day | Revenue ($) | vs avg |
|---|---|---|
| Mon | 720 | -2% |
| Tue | 680 | -4% |
| Wed | 540 | -28% |
| Thu | 710 | +1% |
| Fri | 820 | +2% |
| Sat | 980 | +18% |
| Sun | 390 | -12% |
💡 Insight
Wednesday hit by a nearby office offsite (AI Vision foot traffic -42%). Saturday boost came from the new Spicy Crispy launch trending on social (Meta ad impressions +180%). One external factor, one internal — both identified.
⚡ Suggested actions
Sources
The difference General AI tools can only reason over files you attach. They can’t reach your HQ playbook, local events, competitor activity, AI Vision, HRM, or your live database — so you have to re-upload everything every time it changes. RestoGenie continuously ingests POS, 5+ delivery platforms, ad accounts, HQ docs, HRM, and AI Vision (foot traffic, age, gender, conversion) via ontology-based RAG, and answers with tables, charts, insights, actions, and sources — every time.
AI chat is
the primary interface for store operations
On desktop, chat takes 60% of the main area. A 3-pane layout with sidebar and dashboard puts every operation on one screen.
- Trained on HQ manuals · sources cited in every answer
- Pick your data source (internal DB / web search)
- Resize chat ↔ dashboard freely
- Korean-optimized · auto-learns HQ manuals
What would you like to know?
Sales analysis · Menu recommendations · Ops optimization · Foot traffic
Ask anything.
Every morning, AI flags it first —
the daily briefing card
Without asking, RestoGenie summarizes yesterday's revenue, issues, and opportunities into a daily briefing card.
- Yesterday's revenue + same-period comparison
- Issue cards (ad efficiency / reviews / revenue anomalies)
- Today's recommended actions
Meta ROAS is down 38% from usual. Worth a campaign review this morning.
> Affects: Live Shopping campaign · yesterday 6–10 PM
- Push new-item SMS promo
- Pause low-performing ad campaigns
- Confirm weekend staff schedule
- Review new HQ recipe manual
- Reply to 5 customer reviews
KPIs, revenue, settlements, staff, reviews —
all on one screen
Add and rearrange 15+ widgets to match how your store runs. KakaoTalk daily close report sent automatically.
- 15+ widgets, freely arranged (drag-and-drop)
- Pick from the widget gallery
- Daily close report auto-sent via KakaoTalk
Revenue today
$342
+12%
Est. margin
$118
34.5%
Settled today
$268
DoorDash 38%
Top sellers
TOP 10
4-week trend
Reviews
4.7
3 new
Ad ROAS
15.0×
↑ 2.1
Staff today
4
+1 at 2 PM
Close checklist
7 / 9
Sales · P&L · Settlements · Marketing —
4 axes of performance analytics
TOP 10 menu items per category + 4-week trend sparklines speed up decisions. Channel settlements auto-reconciled.
- Sales analytics (overview / history / menu)
- P&L analytics (forecast / closed)
- Channel settlement auto-reconciliation
- Marketing analytics (ads / reviews / customers)
Menu performance · top 10 by category
4-week trendChannel settlements · May 18, 2026
Live reconciliationGross
$3,210
Fee
$482
Net
$2,728
Gross
$1,605
Fee
$281
Net
$1,324
Gross
$990
Fee
$149
Net
$841
Workforce management —
Korean labor law, built in by default
Import attendance via Excel, confirm monthly, auto-calculate payroll. Korean labor-law guardrails ship as defaults to prevent HR incidents.
- Attendance Excel → auto-matched
- Confirm month-end in one screen
- Korean Labor Standards Act §95 auto-check (10% tardiness cap)
- Resident registration numbers encrypted at rest
Staffing · week of May 18
Schedule · 4 staff
Jaime
AM
Lee
Full-time
Marcus
PM
Chloe
Weekend
Ad efficiency and reviews,
one screen
Analyze Naver and Meta ad ROAS by keyword. Manage reviews across 4 platforms in one inbox. AI reply drafts (beta).
- Per-keyword ROAS + auto-suggested cuts for low performers
- 4-platform review hub (Baemin · Coupang Eats · Yogiyo · Naver)
- AI-drafted replies (review before publish)
Ad ROAS · by keyword
Review inbox · unified
Spicy Crispy is unreal — patty has great texture and the sauce really brings the heat.
Delivery took over an hour. Food was good but it arrived way too late.
Great vibe, super friendly staff. Will definitely be back!
Double Cheese is solid but the patty felt a bit thin.
Pretty average. Decent value for the price.
12+ items in progress
Released by franchisee-requested priority. Hover to pause.
Inventory management
AI demand forecasting + expiry alerts + 1-click reorder
Trade area analysis (AI Vision)
Deep AI Vision analysis (1 store in beta)
AI review reply generation
Auto-generated replies across platforms (review before publish)
AI onboarding for new staff
HQ manuals learned by AI + auto-assisted training
AI auto on/off for ads
Auto-pause underperformers + CPC tuning (approval-based agent)
Menu price optimization
Cost shifts + competitor data + demand elasticity → price suggest
Procurement automation
HQ procurement · ingredients · supplies — auto-order + receive
Per-store KPI alerts
Revenue dip · labor overrun · review complaints — auto-alert
Customer revisit prediction
Likelihood to revisit + tailored promo recommendations
Reservations & group orders
Calendar · group menus · KakaoTalk notifications, unified
Safety & hygiene checklists
Store SOP checklist · photo attachment · HQ reporting
Revenue forecast simulation
Weather · events · price change scenarios → revenue forecast
All your restaurant data, managed in one place.
Connected to 12+ partners across POS, payments, delivery, ads, AI Vision, and messaging — so stores and HQ see all the data on a single screen.
Delivery platforms
POS · Payments
Advertising
AI Vision · Analytics
Messaging · Other
+ More integrations rolling out during beta
The questions we hear most before rollout
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