01Market
Franchises and Multi-Unit Retail
Who buys
- Franchisors
- Multi-unit franchisees
- Food service chains: restaurants, dark kitchens, coffee shops and ice cream shops
- Pet shop chains
- Pharmacy and drugstore chains
- Convenience store chains
- Cosmetics and beauty chains
- Optical, fashion and footwear chains
- Operations and expansion leadership
- Controllership
02The problem
What holds the decision back
Sales, inventory and cash do not always reconcile across locations, sales channels and network management. Discounts, cancellations and different criteria complicate store comparisons and royalty calculations. A sale may be in the store's system without yet appearing in receipts. To decide on replenishment, margins or a cash discrepancy, you need to check records before acting.
03Application
How we apply it
We start with sales, inventory, cash and receipt records from each location. We define comparable criteria by store and channel and prioritize discrepancies affecting margins, replenishment and royalties. The plan considers differences between systems and access by location. Afterwards, we can assess AI for queries and checks or a standard for network applications, keeping decisions and exceptions with the people responsible.
04Domain
The data we know
- Sales by unit, shift and channel: store, dine-in and counter, delivery and marketplaces
- Average ticket size and product mix
- Stockouts, inventory turnover and ABC analysis
- COGS, shrinkage, damage and waste
- Batch and expiry date, in pharmacies, pet shops and food service
- Till opening and cash-up, cash drops and float top-ups, cash overages and shortages
- Voids, refunds, exchanges and discounts
- Franchisee revenue, royalty base and marketing fund
- Store comparison and same-store sales
- In food service: preparation and service times on the kitchen display system
- In food service: recipe cards and theoretical against actual usage
05Delivery
What arrives
Deliverables depend on the tracks engaged and the approved scope. You do not need to engage all three services.
- Shared rules for sales, inventory, cash and royalties across locations within scope
- Comparable indicators by location and channel, with defined sources and owners
- Documented support routines and instructions, with exception handling
- AI experiments in selected teams, with review, limits and metrics
- Standard for maintaining network applications and reusing queries where feasible
- Documentation and owners for products and access by location
06Services
How the services apply
Data Architecture and Governance
Store, delivery and other channel sales may use different criteria. Inventory, cash and receipts do not reconcile, and discounts or cancellations change the reading of margins and royalty calculations.
We define criteria by location and channel and check discrepancies. Indicators within scope support comparisons of sales, turnover, losses and cash, respecting franchisee and franchisor access rules.
AI Culture and Operations
Support answers the same questions about products, procedures and campaigns. Managers repeat checks and reports, but rules, exceptions and responsibilities vary between locations or are not documented.
We develop AI use with operations and support and document routines. Agents can assist queries and checks where rules are clear, keeping pricing, audit and exception decisions with the people responsible.
Vibe Coding and AI-Based Products
Operational queries and support tools emerge separately by team or location. Each application repeats access rules, connections and logic, and a procedure change requires fixes in several places.
We define a standard for maintaining network tools and a reusable foundation where it fits. The project verifies required connections and tests responses, access by location and costs before expanding use.