AI operational intelligence for multi-location restaurants

See which customers and stores are slipping, understand why from their feedback, and win them back with automated campaigns, all from your existing POS data.

Free. Results in 5 business days.

The Revenue Protection Engine

Build lasting relationships and gain a competitive edge with actionable insight into customer behavior, store performance, and revenue risk.

Customer Intelligence

Customer intelligence visualization

Know which customers matter to your revenue.

Understand customer segments, buying behavior, concerns, and revenue exposure.

Store Intelligence

Store intelligence visualization

Know which stores are affecting network revenue.

Understand store performance, revenue trends, customer behavior, issues, and revenue risk at each location.

Recovery Workflows

Recovery workflows visualization

Turn revenue risk into recovery action.

Create single-stage campaigns or multi-stage recovery flows for customers who can be contacted.

Feedback Intelligence

Feedback intelligence visualization

Understand what customers are telling you.

Identify recurring issues across customers and stores, then connect feedback patterns to affected customers and revenue.

Your data, our intelligence and AI working as one for protecting revenue

Understand customer behavior, store risk, and revenue exposure before issues turn into lost sales.

High-value and at-risk customers

Identify high-value and at-risk customers before they stop ordering.

High-value customers At-risk customers Before they stop ordering
Revenue recovery workflows

Recover lost customer revenue through targeted recovery workflows.

Targeted recovery Lost customer revenue Recovery workflows
Sales and feedback to revenue outcomes

Turn sales, feedback, and order behavior into measurable revenue outcomes.

Sales Feedback Order behavior
Store performance risks

Detect store-level performance risks before they become larger revenue problems.

Store performance Revenue trends Bigger problems
Protect revenue before problems grow

Protect revenue before operational issues turn into sustained sales decline.

Operational issues Early action Sales decline

Your data and our intelligence work together to catch revenue risk before it costs you.

Diagram of data flowing from customer signals into StoreShield's risk detection and recovery workflow

Frequently Asked Questions

StoreShield is an AI Operational Intelligence platform for multi-location QSRs that connects sales data, customer feedback, and order behavior to identify risks affecting revenue.

It identifies early signs of customer disengagement and store-level performance risk, helping teams act before operational issues become larger revenue problems.

StoreShield analyzes sales data, customer feedback, and order behavior to identify patterns across customers and stores.

StoreShield combines Customer Intelligence, Store Intelligence, Feedback Intelligence, and Recovery Workflows to identify revenue risk and help teams take action.

Teams can select eligible customer lists and run single-stage campaigns or multi-stage recovery flows, then track customers recovered and revenue recovered.

WHY NOT JUST USE…

Your tools see pieces. StoreShield connects them.

Keep what works. StoreShield fills the gaps between them, and acts on what it finds.

POS reports show what sold
POS reports

They: Show what sold.


StoreShield: Shows who bought, who stopped ordering, and acts on it automatically.

Sales down at Store 7 → 42 lapsed regulars found Lunch orders dropping → regulars who moved to other day parts flagged Catering client silent for 60 days → follow-up triggered
Loyalty program membership
Loyalty tools

They: See only your members.


StoreShield: Works from every identifiable order, then runs campaigns on them.

Non-members included Online-order guests reached, no sign-up needed One profile per guest across stores and channels
Guest feedback collection
Feedback tools

They: Collect the complaint.


StoreShield: Links it to the guest’s order history, so your most valuable guests are recovered first.

Top-10% guest complained → priority recovery Same complaint at 3 stores → flagged as a pattern Complaint → recovery offer sent → return visit tracked
Email and SMS campaign tools
Email & SMS tools

They: Send the messages you set up.


StoreShield: Triggers messages from real order behavior.

Weekly guest, 3 weeks silent → offer sent Win-back texts to lapsed regulars only, not your whole list Campaign → orders and revenue measured per message

Example scenarios. Your snapshot shows your real numbers.

Security

Your infrastructure. Your data. Your control.

StoreShield is designed for self-hosted deployments. That means the brand keeps control of its infrastructure, its data, and its access model without giving up the flexibility to run it the way its team wants.

No vendor lock-in

StoreShield can be deployed on the brand’s own infrastructure instead of a closed hosted environment.

  • Deploy on your own VM, cloud account, or on-premise environment.
  • Choose Docker Compose, Terraform, or a marketplace deployment model.
  • Keep infrastructure, configuration, and operating choices in your control.

Data protection

Your data stays under your own controls, with encryption and retention decisions made in the environment you own.

  • Protect customer and operational data with your storage and database design.
  • Control retention, backups, and deletion procedures.
  • Use your own secrets management, identity controls, and monitoring stack.

Own your infrastructure

StoreShield is designed to fit into the security model your team already operates.

  • Use your existing network controls, access policies, and identity providers.
  • Apply your own patching, hardening, and incident-response processes.
  • Operate the deployment in a way that matches your environment and compliance needs.
StoreShield

Talk to the people who built it.

You’ll talk directly to the team that built and runs StoreShield. No hand-offs.

You'll talk to a real person
on our team.

“The biggest shift was knowing which customer signals actually mattered. Instead of finding out after sales declined, we could identify customers at risk, recover them early, and measure the revenue we brought back.”

Jayesh Kumar · COO, Buster's Pizza & Donairs

Free · One page · No commitment

Get your free Lapsed Regulars Snapshot

See how many regulars stopped ordering, what they used to spend, and which stores they came from.

  • Request it by email. No data needed to ask.
  • We reply within one business day with the easiest way to share your data. Customer details can be hashed.
  • Your one-page snapshot arrives 5 business days after we receive your data.
Request my snapshot  →

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