VXQN
Illustrative field guide

Houseware India — ₹2.1Cr recovered in 90 days

A ₹240Cr home & living D2C brand recovered ₹2.1Cr in operational leakage in the first 90 days with VXQN — NDR cycle time from 22h to 4h and operating margin up 410bps.

Operational leakage
↓ ₹2.1Cr
In the first 90 days post-deployment.

NDR cycle time
22h → 4h
Average resolution across all NDR exceptions.

Refund SLA breach
↓ 84%
SLA breaches across the refund pipeline.

Operating margin
↑ 410bps
Through reduced RTO, refund delay and exception cost.

The diagnostic

The leak was always between systems.

Houseware India is a ₹240Cr home and living D2C brand operating across India and Southeast Asia. Their courier dashboards looked healthy. Warehouse throughput was at plan. Yet operating margin had compressed by 380 basis points over four quarters with no obvious cause.

A 30-day VXQN diagnostic instrumented the operational layer between systems. The leakage was distributed: nineteen percent in unresolved NDR, twenty-eight percent in delayed refunds, twenty-two percent in courier lane mis-routing, fourteen percent in COD reconciliation, and the remainder across long-tail exceptions.

No single operator owned the layer. No system enforced SLA pressure across teams. The burden of operational coordination fell on spreadsheets and WhatsApp groups.

“Our courier metrics looked fine. Our warehouse metrics looked fine. The leak was always between them. The diagnostic was the moment we saw it.”
A. Khanna Chief Operating Officer · Houseware India
Deployment

Eighteen days from contract to production.

VXQN deployed across Houseware’s commerce stack — Shopify, two warehouse partners, four courier integrations (Delhivery, BlueDart, XpressBees, Shadowfax), and the existing CRM. The Risk Intelligence Engine was tuned to the Houseware cohort over the first two weeks.

Eight execution pods were stood up: NDR Recovery, COD Confirmation, VIP Recovery, Refund Escalation, Courier Exception, Fraud Review, Warehouse Exception, and AI Automation. Each pod was assigned a lead and an SLA target. The pod structure replaced a single shared “operations” queue.

First 90 days

Becoming the operational substrate.

Within ninety days, VXQN became the operational substrate. AI intervened on 142 orders per day on average — protecting ₹38L of exposure daily. Executive visibility moved from weekly to realtime, with the Executive surface replacing a Monday morning operations meeting that had been running for two years.

The single largest impact was on NDR recovery. Average cycle time dropped from 22 hours to 4 hours after courier swap recommendations were enabled. RTO rates dropped 31% across the active courier set.

“VXQN became the operational substrate within ninety days. We recovered ₹2.1Cr in leakage we didn’t know was there. Operating margin is now where it should have been all along.”
A. Khanna Chief Operating Officer · Houseware India
What’s next

Scaling to ₹500Cr.

Houseware is now expanding from 14 to 22 warehouses across India and Southeast Asia. The Operational Digital Twin will be used to model regional pressure during the upcoming festive cycle. A custom pod design is in progress for the brand’s wholesale channel.

The COO’s quarterly board pack now opens with the Executive surface. The operations team has been restructured around the pod model — what was previously “operations” is now four named teams with explicit failure-mode ownership.

Ready to see VXQN against your operation?

Request an executive diagnostic.

30 days. Instrumentation across your stack. A diagnostic report with quantified leakage and a deployment proposal.

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