Turn waiting into predictable service, with SLA protection leaders can trust.
IRetailOS (QMS) unifies appointments, walk-ins, and virtual waiting into one operating model, then optimizes routing in real time—so operations teams reduce congestion, improve customer experience, and run branches with clarity.
Remote waiting + live updates
Waiting now
38
21
In-store
17
Ask “why” → root cause + next actions
Lower cost-to-serve and consistent service levels across regions.
Better utilization, fewer bottlenecks, fewer SLA breaches.
Fewer complaints, clearer updates, and smoother handoffs.
Run retail service like an operating system—not a collection of counters and queues.
Reduce variance—customers feel the difference when wait time becomes reliable.
wait-time stability
Balance workload across counters and skills to minimize idle time and overload.
workload balancing
Proactively detect risk and intervene before service targets are missed.
predict & protect
Move from dashboards to answers with root-cause guidance and recommended actions.
executive clarity
If you only “digitize tickets”, you’ll get a nicer queue—but not operational control. The leverage comes from standardizing the end-to-end journey (booking → arrival → waiting → service → outcome), and measuring outcomes consistently across branches.
Everything you need to run the end-to-end in-store journey with a premium experience.
Appointment slots
Check-in + validation
Virtual / in-store
Skill-based routing
KPIs + reasons
Predict risk and intervene before targets are missed.
Clear updates, less anxiety, fewer escalations.
Benchmark branches consistently and act decisively.
Standardize the flows that create most congestion, complaints, and rework—then scale the playbooks across regions.
Secure service flows designed for sensitive account actions with structured outcomes.
SIM swap
KYC update
Account verification
Supports longer service times and follow-up journeys.
Repair intake
Parts/service tracking
Follow-up scheduling
Unify service and sales journeys in one experience for your Banking, Insurance and Utilities customers.
New activation
Plan upgrade
Corporate lane
| Journey | Lane | Status | SLA | Next action |
|---|---|---|---|---|
| SIM swap | Secure | Ready | 12m | Assign skill |
| KYC update | Compliance | In Progress | 18m | Verify docs |
| Repair intake | Device | SLA Risk | 25m | Open extra counter |
root cause + recommended action
Appointment slots
+7m avg wait
Re-route lane
Outcome: fewer escalations, clearer accountability, and actionable branch-level interventions.
A clean comparison of category focus and operational intelligence.
| Capability | IRetailOS | Qmatic | Q-nomy |
|---|---|---|---|
| Core focus | Retail operating system | Queue & appointments | Journey & queue |
| Routing approach | Adaptive optimization | Rules & configuration | Rules & flows |
| SLA handling | Predict and protect | Monitor and react | Monitor and tune |
| Virtual lobby | Persistent session | Digital ticketing | Strong virtual lobby |
| Intelligence layer | Conversational insights | Dashboards | Analytics tools |
| Integrations | Low-code studio | API integration | Modular integration |
| Telco readiness | Telco-native workflows | Configurable | Configurable |
If your goal is “nicer ticketing”, a queue tool can help. If your goal is branch throughput + SLA + customer experience, you need an operating model with optimization, outcomes, and decision support.
IRetailOS is designed to orchestrate service journeys and integrate with your core systems—without forcing a rip-and-replace. Use it to standardize policy, measure outcomes, and scale consistently across regions.
Connect CRM, KYC, billing, and provisioning using templates, event-driven triggers, and resilient retries.
Conversational insights support root-cause analysis and anomaly detection—so leaders act faster.
Use AI-assisted flows where risk and service friction are highest—while keeping humans accountable for decisions.
New sale + eKYC + predictive fraud
Device replacement / SIM upgrade (AI assisted secure flow)
Mobile • Web • Kiosk
Counter • Supervisor
Escalations • Support
queue • appointments • routing • SLA
Consistency across branches + real-time operational control
RBAC • audit logs • tenant isolation
Role-based access
Audit-ready logs
Tenant separation
Result: operational optimization + customer experience upgrade + integration acceleration.
Move fast without losing control: standardize the first journey, prove KPI impact, then scale.
| Track | Scope | Typical outcomes | Trade-off |
|---|---|---|---|
|
V1-A (Fastest viable)
|
1–2 branches, 1 journey (e.g., SIM swap + KYC update), virtual lobby + routing rules, baseline reporting | Quick time-to-value: reduced congestion, fewer complaints, clear SLA visibility | Limited coverage initially; scale requires standardization discipline |
|
V1-B (Enterprise rollout)
|
Multi-region governance, standardized journey library, integration fabric, anomaly detection and executive "Ask why" | Consistent operations across regions; measurable KPI improvements at scale | More stakeholder alignment and operating model work |
Run a 2–3 hour operating workshop to select (a) the first journey, (b) the target SLA and KPI set, and (c) the integration touchpoints. Then ship V1-A as a controlled pilot with branch benchmarking.
It’s designed as an operating layer: it orchestrates appointments, walk-ins, and virtual waiting, then optimizes routing and supports decision-making. Ticketing is included—but the goal is operational control and consistent outcomes.
Yes—pilot a single journey in 1–2 branches with clear KPIs (wait time, abandonment, SLA compliance, staff utilization), then scale once the operating model is proven.
Common touchpoints include CRM, KYC/identity, billing, and provisioning. The platform supports template-driven integration patterns, event triggers, retries, and replay to improve reliability.
Common touchpoints include CRM, KYC/identity, billing, and Claims. The platform supports template-driven integration patterns, event triggers, retries, and replay to improve reliability.
Leaders can ask operational questions (e.g., “why are waits rising today?”) and receive a structured explanation (root cause + anomaly signals) plus a recommended next action—grounded in operational data.
Request for information or demo.
Request for information or schedule a solution demo.