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Franchise Intelligence for Multi-Unit Franchise Networks

Unify sales, labor, inventory, delivery, service, and operational data across every location — and enable benchmarking, insight sharing, and consistent execution across the entire chain.
Built for franchise networks across restaurants, retail, hard goods, soft goods, and service models. The goal is not just more reporting. It is a shared operating view that helps the network see, compare, learn, and improve together.
Benchmark stores, operators, regions, and formats on one KPI framework
Share insights and best practices across the network
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See how it works
The challenge

Why Franchise Performance is So Hard to Manage

Franchise brands do not struggle because they lack reports. They struggle because performance is spread across multiple operators, systems, regions, and store formats. By the time issues are visible, the opportunity to fix them is often already smaller.
Fragmented operating data
POS, labor, inventory, delivery, service, ecommerce, and finance data sit in different places and rarely tell one clean story about what is really happening.
Inconsistent execution
Some operators follow the playbook tightly. Others drift quietly. The brand often sees the result too late, but not the early pattern that caused it.
No shared benchmark
Operators may see their own performance, but without network context it is hard to know what good looks like and where true outliers sit.
Field focus is diluted
Field leaders should not waste time figuring out where to look. They need clear signals on which locations need attention now and why.
How it works

A Structured Operating Layer for the Franchise Network

Franchise Intelligence does not ask the brand to build another reporting stack. It connects the systems already running the network, organizes them into a governed operating model, and applies AI, benchmarks, and action tracking on top.
What gets connected
The systems that already carry the data needed to understand network performance.
  • POS
  • Labor & Scheduling
  • Inventory
  • Delivery
  • Ecommerce
  • Finance
  • CRM / Loyalty
  • Field Audits
  • Service Systems
  • Other Brand Systems
One governed operating truth
The model connects stores, operators, products or services, regions, channels, labor, and time so analysis becomes consistent, reusable, and trustworthy.
  • Consistent KPI definitions
  • Benchmarking by store, operator, and region
  • Shared visibility with role-based control
  • Historical performance and trend context
What the network can do with it
Once the operating model is in place, the same foundation supports analytics, AI, insight sharing, tasking, and measurable execution.
  • Alerts
  • Benchmarks
  • AI Q&A
  • Best-practice sharing
  • Tasking
  • Execution tracking
  • Scorecards
What it helps you see

See Where the Network is Drifting

The value is not just having data in one place. It is being able to see where the chain is underperforming, where top operators are excelling, and what the difference actually is.
Sales and margin variance
Spot which stores, operators, or regions are falling behind plan and whether the issue is volume, mix, execution, labor, or margin discipline.
Operator performance patterns
See whether differences are driven by location quality, operator behavior, staffing choices, inventory decisions, or process execution.
Top vs. bottom performers
Quickly identify who is leading, who is lagging, and where field teams should focus today rather than after another reporting cycle.
Labor and productivity drift
Monitor whether labor is out of balance with sales, throughput, or service levels before the issue becomes more costly across the chain.
Inventory and usage issues
Identify overuse, stock imbalance, waste, or fulfillment issues across locations and determine whether they are isolated or systemic.
Channel and promotion impact
Understand whether delivery, ecommerce, service channels, or promotions are helping growth, harming margin, or creating execution complexity.
Best-practice engine

Turn Analytics into Shared Best Practices Across the Network

High-performing franchise networks do not just measure performance. They replicate what works. Franchise Intelligence identifies the patterns behind top-performing stores and operators, then helps the brand make those insights visible, shareable, and measurable across the chain.
Who it helps

Drive Performance Across the Network — Including Every Franchisee

Franchise Intelligence is designed to help the franchisor improve total network performance. That means not only giving HQ better visibility, but ensuring every franchisee has clearer data, stronger benchmarks, and more actionable guidance.
For
franchisor leadership
See performance across the network, compare operators, identify systemic issues, and scale best practices more consistently across the brand.
For
field leaders
Know which locations need attention now, what is driving the issue, and apply proven approaches from top-performing operators to improve execution.
For franchisees
(through the franchisor)
Enable every franchisee to perform better by giving them consistent KPIs, clear benchmarks against the network, and shared best practices derived from top-performing stores.
Franchisee performance

Improve franchisee performance through better data, benchmarks, and guidance.

For franchisors, the goal is not just visibility — it is improving performance across every operator. Franchise Intelligence enables this by equipping franchisees with clearer insight, stronger context, and proven guidance from across the network.
Give franchisees better data
Provide consistent, trusted visibility into sales, labor, inventory, and execution so franchisees are working from the same operating truth as the brand.
Define performance through benchmarks
Help franchisees understand what “good” looks like by comparing them to similar stores, regions, and top performers across the network.
Share best practices at scale
Move beyond reporting by distributing insights and proven behaviors from top-performing operators to the rest of the network.
Improve execution consistency
Align franchisees around clear priorities and track whether changes are being adopted and improving outcomes across locations.
Shared score language

Create a Shared Operating Language Across the Network

Composite scoring helps the organization summarize performance into a clear and comparable signal. Instead of debating which report matters most, the network can align around transparent scores built from the KPIs that actually drive results.

Store Score
Operator Score
Region Score
Execution Score
Store Score
82%
Network benchmark: 74%

A clearer signal for comparing performance across locations and identifying who should be studied, supported, or celebrated.

AI on top of connected franchise data

AI that helps the network find what works and spread it.

AI is most useful when it works from a governed operating model rather than disconnected reports. That is what makes it possible to ask better questions, surface meaningful patterns, and identify best practices worth sharing across the chain.
Surface issues automatically
Detect labor spikes, margin drift, inventory imbalance, channel underperformance, or execution gaps without waiting for manual analysis.
Benchmark with context
Ask which stores or operators are outperforming the network, where variance is concentrated, and what is different about the top quartile.
Generate best-practice insight
Use AI to identify repeatable performance patterns that can be translated into guidance and shared more broadly across the brand.
Live AI questions for franchisors

Bring the Franchise Network Onto One Operating Truth

See performance across every location, benchmark operators consistently, share best practices through analytics, and turn network data into measurable execution.
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Commercial value

Small Improvements Across the Network Compound Quickly

In a franchise network, the opportunity is not just fixing problems. It is scaling what already works. A modest gain in labor control, inventory efficiency, conversion, throughput, or execution across dozens or hundreds of locations can create material financial impact for both operators and the brand.
Reduce performance variance
Bring more of the network closer to the standards and behaviors already visible in stronger operators.
Focus field resources
Direct time and attention to the locations that actually need intervention instead of spreading effort too thinly.
Scale best practices faster
Find the patterns driving top performance and move them through the network more quickly and with better follow-through.
Protect margin and performance
Detect drift earlier, align on one set of numbers, and improve consistency without adding more reporting overhead.

Our Clients

We focus on delivering a tangible return on investment be it through improved productivity, finding growth or aiding smarter decision-making. Collectively, we have over 50 years of experience in retailing, retail analytics, data management and insights.

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