CASE STUDY | RETAIL
Application support tailored to each format keeps 3,000+ stores ready to sell
NextGen IT Operations
The Client
A global retailer operating more than 10,000 stores across multiple formats.
The Situation
By opening time, every Point of Sale has to be ready, promotions have to ring correctly, inventory has to be visible, and every payment method has to work. If a promotion fails, the team may have only minutes to fix it. If a store server goes offline, contingency processes don’t offer much beyond keeping transactions available. That’s a lot of business riding on what looks, from the outside, like application support.
At that scale, the existing support model was not predictable enough. Resolution times varied. Recurring issues kept coming back. Too much knowledge lived with individual people, and limited KPI visibility made it harder to see where demand and risk were changing. The retailer needed one disciplined operating model, flexible enough to fit the realities of each format.
The Solution
Managed retail AMS for 3,000+ stores across POS, payments, inventory, promotions, self-checkout, releases, and server recovery, with 24x7 P1 response.
One operating model aligned to how the business runs. Combined ITIL-based support, reusable knowledge, automation and KPI-driven governance, and coverage tailored to format and geography.
- Mapped demand by format, geography, severity, and season to put coverage where impact was highest.
- Turned individual know-how into reusable runbooks, SOPs, and support paths.
- Automated pre-opening checks, monitoring, scans, and common workarounds to catch issues earlier and increase capacity.
- Made demand, SLAs, trends, peaks, recurring issues, and improvements visible through monthly governance.
- Coordinated critical handoffs across business, support, technology, and partners, including mass fixes and off-hours testing.
Driving Results
- 30% increase in operational efficiency, enabling the service to handle greater demand and improve quality without proportional staffing growth.
- Reduced mean time to resolution from 5 days to 1.8 days.
- Cut physical store-server recovery from as long as 15 days to 2-3 days.
- 15% reduction in recurring incidents.
- Stabilized service levels and replaced one-size-fits-all coverage with support calibrated to each format's demand and business criticality.
- Supported 3,000+ stores year-round with fewer than 40 people, handling thousands of tickets each month and five-figure volumes at peak.
We make retail application support at scale Simple, Smart, Reliable—so when the doors open, store teams can run the business and shoppers can simply shop.