The analytics function
your restaurant never hired.
You have a POS, an accountant, and review dashboards. What you don't have is someone who connects all of it — cross-referencing your actual margin data against competitor pricing, your POS patterns against your Wolt review signals, your cost structure against market benchmarks — and tells you exactly what to change. Disha does that. Automatically. Every week.
What Disha is
Not a dashboard.
An analytical function.
Enterprise restaurant groups pay analytics teams six-figure salaries to do what Disha does: integrate with business systems, run structured analysis across financial, operational, and market signals, and produce actionable intelligence — not observations to interpret. The same work. Running continuously. At a fraction of the cost.
The entry point is a market scan — Disha reads 8 public sources and tells you where you stand relative to your competitors. The full product is what happens when Disha connects to your actual data: POS exports, reservation records, cost sheets. Claims that were estimated become validated. Hypotheses become findings. The intelligence becomes specific enough to act on.
See how the two tiers workTap any card to see the product view
Where the gap actually is
The data exists.
It just doesn't connect.
Restaurant operators use more tools than ever. The problem is none of them talk to each other — and none of them read what's happening outside your restaurant.
Fragmented signals, no synthesis
Your POS shows revenue. Your review platform shows ratings. Your accountant shows costs. Nobody connects them to tell you: delivery revenue is down because two low-rated reviews about cold food are suppressing your Wolt ranking. That synthesis is the missing piece.
Internal tools have an external blind spot
Toast and Lightspeed see inside your restaurant. They don't know your competitor launched a lunch deal that undercuts yours by €4. They don't know your price positioning sits in the bottom quartile for your cuisine category in this city. External market intelligence is not in your POS — and it has to be.
By the time you see the problem, it's expensive
The signals that predict margin erosion — review patterns, competitive pricing shifts, menu mix changes — are all public and readable months before the P&L reflects the damage. Disha reads them systematically so you don't have to wait for the quarterly report to find out.
How it works
Two levels of intelligence.
One platform.
Start with your market position. Connect your actual data when you're ready for the full picture.
For operators who want competitive and review intelligence running on autopilot. No integrations. No setup.
Submit your restaurant
Enter the restaurant name and city. That's it. No spreadsheets, no integrations, no setup. Disha handles the research from there.
Disha scans 8 public sources
Google Reviews, TripAdvisor, TheFork, Wolt, your website, competitor menus, local market data, and sector benchmarks — collected and structured automatically.
Six specialist agents analyse
Separate agents examine review patterns, competitor positioning, menu pricing, and market signals independently. A synthesis agent connects their outputs — every finding typed by confidence: observed, estimated, or inferred.
You receive a market intelligence report
Where you stand relative to competitors. What your reviews are actually signalling. Where your pricing sits in the market. What to look at first — with a ranked action list.
Connect your actual business data to validate every finding.
What's in the report
Six intelligence dimensions.
Deeper with every data source you add.
Every capability improves when Disha has more to work with. Toggle to see what changes when you connect your actual business data.
Review intelligence
Systematic analysis across all major platforms — Google, TripAdvisor, TheFork, Wolt. Sentiment patterns, recurring operational issues, peak period complaints. Structured and ranked rather than read one at a time.
Competitive intelligence
Your 8 nearest competitors mapped by cuisine, price tier, rating, and review volume. Pricing gaps between you and the market. Positioning spaces your competitors are not occupying. Menu categories where you are under- or over-indexed.
Menu and pricing analysis
Your price positioning relative to market averages for your cuisine type and city. High-demand dishes, margin risk by category, and underpriced items identified against competitor menus.
Financial signal intelligence
Structural profit drivers and loss patterns surfaced from public signals — pricing relative to cost benchmarks, discount behaviour, review-to-revenue correlations. Useful estimates. Clearly labelled as estimates.
Ranked action plan
Every finding converts into a specific action ranked by estimated impact. Each action includes an effort estimate, a time horizon, the evidence behind it, and a definition of success.
30-day experiments
Low-risk, testable changes designed for in-house execution. Each with a clear hypothesis, success metric, and follow-up mechanism. One experiment at a time so results are attributable.
What the pilot found
What full intelligence actually surfaces.
Our first pilot used public data as the entry point and actual business data for validation. The market scan flagged pricing anomalies and review patterns. The full intelligence run — with POS and cost data — validated them against real margin figures and identified over €200,000 in structural losses accumulated over five years at a restaurant with a 4.6-star Google rating. None of it was visible in the POS alone. None of it was visible in the reviews alone. The finding required both layers, connected.
Pricing
Two products. One decision.
Start with market intelligence to see what Disha finds. Move to Full Intelligence when you want the analysis running against your actual business data.
Market Intelligence
Public data, automated. The external view — running on autopilot.
For operators who want a monthly market pulse.
- Monthly intelligence report
- 4 competitor benchmarks
- PDF download and email delivery
- Review intelligence across major platforms
For operators actively working on margins and positioning.
- Weekly refresh
- Menu pricing alerts
- Action priority list
- 8 competitors tracked
- Owner walkthrough mode
For groups managing up to 3 locations.
- Up to 3 locations
- Cross-location comparison
- Market share analysis
- Market Intelligence for all locations
Full Intelligence
The analytics function you never hired. Connected to your actual business data.
- Everything in Market Intelligence (Growth)
- POS, reservation & cost data integration
- Validated findings — not estimates
- Real contribution margin by menu category
- Revenue pattern diagnosis
- Experiment tracking tied to your actual metrics
- Weekly deep intelligence run
- Owner walkthrough with validated data
One-time. Data mapping, initial configuration, first validated report, owner briefing.
Includes all Market Intelligence features. Weekly full intelligence run.
Our complete implementation packages include hands-on consulting, guided owner sessions, and experiment management — not just the software. Standard (€2,999) and Full Intelligence (€4,999) packages qualify for 70–100% SME digitalisation grants via Fit 4 Digital. Most operators pay under €1,500 out of pocket.
Get in touch
Start with a conversation.
We're running a pilot with Luxembourg restaurants. If you'd like an intelligence report run on your restaurant, reach out directly. No form, no wait.
Typically respond within 24 hours.