Pricing Edge
The price data you already have, turned into same-day decisions
Pricing Edge sits on top of your field captures and web scraping, and turns raw data into structured competitive intelligence: parity by store, automatic alerts and an omnichannel view of prices.
Parity Map
every store with its status vs. the competitor (parity, attention, critical).
The challenge
Data arrives raw, fragmented and late
Most chains already receive competitor prices. The problem is not lack of data: it is that nobody turns it into action.
Data without analysis
Prices arrive with no item matching, no parity and no context. They tell you what a price is, not what to do about it.
Isolated sources
Field captures take days to consolidate. Scraping delivers unstructured data with no interpretation.
Diverging channels
In-store, website and delivery prices can differ. Single-source analysis is structurally incomplete.
Slow decisions
Leadership sets prices based on fragmented, delayed and unanalyzed information.
The solution
Three modules: capture, analyze and act
One tool for the field team, the pricing team and leadership.
- Field teams photograph competitor menus at the point of sale
- GPS detects the store and nearest competitor
- AI extracts items and prices from the photos in minutes
- Live map with parity status per store
- Key item comparison by region, channel and competitor
- Price trends by brand and period
- Every deviation listed and ranked by severity
- Critical (>10%) and Attention (2–10%) thresholds, configurable
- Follow-up workflow created automatically
The tool in action
Parity Map
every store with its status vs. the competitor (parity, attention, critical).
How AI creates value
From menu photo to pricing action, with no manual work
What took days of manual consolidation is processed automatically. Your analysts stop typing prices and start working on strategy.
Why now
In a 3–5% margin industry, price monitoring is an operational requirement
sales lift from pricing improvements in restaurants (McKinsey, 2023)
margin gain from key-item-based pricing in retail (McKinsey)
increase in restaurant operating costs since 2019 (NRA, 2026)
Sources: McKinsey & Company (2023); National Restaurant Association (2026).
What is included
A complete operating capability, not a report
See the platform live
A 30-minute demo with real (anonymized) data is the fastest way to evaluate fit.
Schedule a demo