ZBK

K0NSULT x ZABKA

FRANCHISE OPERATIONS GOVERNANCE DEMO
ENTERPRISE DEMO

Use Case: AI-Powered Franchise Compliance & Store Operations

Problem: Zabka operates 10,000+ franchise stores. Ensuring consistent quality, inventory management, regulatory compliance (sanepid), and franchisee performance at scale requires massive operational overhead.

Solution: K0nsult agents monitor store signals (POS data, IoT sensors, customer feedback), auto-classify compliance issues, trigger corrective actions, and maintain a full audit trail for franchise governance.

94%
Issues auto-handled
2.8s
Alert classification
100%
Store audit trail
12d
Deploy time

Workflow Pipeline

Step 01
INTAKE
Store signal: POS, IoT, feedback, audit
▶
Step 02
CLASSIFY
Compliance, inventory, hygiene, performance
▶
Step 03
DECISION
Auto-fix, alert manager, or escalate
▶
Step 04
AUDIT
Full trail for franchise governance

Live Dashboard — Simulated Store Alerts

Alert IDStoreTypeStatusAgentTime
STR-2026-4401ZBK-WAW-0221Fridge temp > 8CRESOLVEDK0-STORE-012.1s
STR-2026-4402ZBK-KRK-0087Stock-out: hot dogsREORDEREDK0-STORE-021.5s
STR-2026-4403ZBK-GDA-0155Sanepid violation riskESCALATEDK0-STORE-033.2s
STR-2026-4404ZBK-WRO-0312Revenue drop -22%REVIEWK0-STORE-044.0s
STR-2026-4405ZBK-POZ-0198Franchisee complaintPENDINGK0-STORE-05—

Demo Scenarios — Store Alerts & Corrective Actions

Scenario 01
Fridge Temperature Spike
IoT sensor detects temperature above 8C in store fridge unit. Auto-alert dispatched to store manager. Corrective action tracked until resolution.
Sensor alert -> Manager notified -> Action tracked -> Audit closed
Scenario 02
Stock-Out Detected
POS data projects core SKU depletion. Auto-reorder triggered to nearest distribution hub. Delivery ETA calculated and tracked.
POS projection -> Auto-reorder -> ETA calculated -> Delivery confirmed
Scenario 03
Sanepid Risk (Hygiene Score Drop)
Compliance check reveals hygiene score below threshold. Escalated to regional manager and compliance team. 24h SLA for resolution.
Score drop -> Escalation -> Regional + Compliance -> SLA enforcement

KPI Performance Metrics

94%
Auto-handled alerts
2.8s
Classification time
67%
Reduction in escalations
100%
Audit trail coverage
DISCLAIMER: All KPIs shown on this demo page are simulated projections based on internal modelling and are intended for demonstration purposes only. Actual performance metrics will vary based on implementation scope, data quality, store network size, and operational conditions. K0nsult does not guarantee specific outcomes. Pilot deployment includes baseline measurement and KPI validation.

Why K0nsult for Franchise Operations

10,000+ Store Scale

Built for massive franchise networks. Every store signal processed in under 3 seconds regardless of network size. No human bottleneck at intake.

Sanepid-Ready Audit Trail

Every alert, decision, and corrective action logged with timestamps. Export-ready documentation for sanepid inspections and franchise compliance reviews.

Human-in-the-Loop Governance

AI handles routine alerts automatically. Critical compliance issues always escalate to regional managers. You control the decision boundaries.

12-Day Deployment

From signal mapping to full network activation in under two weeks. Pilot with 50 stores first, then scale to the entire franchise network.

Implementation Timeline

Day 1-2
Discovery & Signal Mapping
Map POS data streams, IoT sensors, customer feedback channels, compliance rules
Day 3-5
Agent Configuration
Configure intake agents for each signal type, classification rules, thresholds
Day 6-8
Integration & Pilot Stores
Connect to 50 pilot stores, parallel run with existing operations
Day 9-10
Franchise Dashboard
Regional manager views, store scoring, benchmarking
Day 11-12
Rollout & Monitoring
Full network activation with sanepid compliance export

Deploy This for Your Team

Production-ready in 7-14 days. Not a concept — a working system with full audit trail.

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