Retail systems fail when commerce, supply chain, and data layers are not governed as one.

Apparel retailer operating 380 stores across 14 markets with eCommerce, in-store, and marketplace channels running on separate order management systems with no shared inventory data model. Online available-to-promise calculations ran on the previous day's inventory export — meaning oversell events during promotions were discovered only after the order was placed. Ship-from-store capability existed in 40 stores and was managed through a manual process. Marketplace inventory allocation was managed by a spreadsheet that a team of four maintained across two time zones.

NexGenTek designed a unified inventory availability architecture — real-time inventory feed from all 380 stores and 3 distribution centres, with ATP logic that accounted for in-transit stock, safety stock buffers by location, and demand reservation by channel. Data contracts defined before any platform integration began. Ship-from-store routing logic built into the unified order management layer with defined carrier selection, packing, and collection time SLAs per store. Marketplace inventory allocation automated through the governed inventory layer.

Oversell events eliminated — ATP calculations now running against real-time inventory with defined freshness SLA under 60 seconds. Ship-from-store capability extended to all 380 stores — contributing 22% of online order fulfilment volume within 3 months of full rollout. Marketplace inventory reconciliation team reduced from four to one. Full integration architecture and API specifications transferred at close — retailer added two new marketplace channels independently after handover.

Home goods retailer with 220 locations and two distribution centres operating WMS and ERP systems that synchronized inventory data through overnight batch processing. Replenishment decisions were made on inventory positions that were 18 hours old. Safety stock levels were set 40% above what a real-time system would require to compensate for the data latency. Out-of-stock rates were 12% across the store network despite carrying excess inventory that was in the wrong location. Click-and-collect orders had a 19% failure rate because in-store inventory was allocated to online orders that the store team had already sold.

NexGenTek delivered an event-driven inventory integration platform — real-time movement capture at store and DC level, unified inventory ledger with location-level visibility, and an allocation engine that reserved in-store inventory for click-and-collect orders at the point of placement rather than at the point of collection. Migration sequenced by DC first, then stores in cohorts with parallel reconciliation against the overnight batch during transition. Replenishment system connected to the real-time inventory layer with a defined safety stock recalculation cycle.

In-store inventory visible to all channels within 90 seconds of movement. Click-and-collect failure rate reduced from 19% to under 1%. Safety stock levels reduced by 31% across the store network — releasing working capital that had been held against data uncertainty. Out-of-stock rate reduced from 12% to 4.2% through improved replenishment trigger accuracy. Full platform source code and data architecture documentation transferred at programme close.

Grocery retailer operating a 15-year-old warehouse management system that could not support a new automated picking infrastructure approved for capital investment. The existing WMS vendor had no supported integration path for the robotic picking system. A like-for-like WMS replacement would require migrating 8 years of location master data, existing pick path configurations, and real-time supplier EDI connections — while the DCs continued processing 180,000 order lines per day. The transformation team had 16 months before the robotic picking system required a live WMS integration to meet the capital programme business case.

NexGenTek scoped the WMS replacement architecture with the robotic system integration as a primary design constraint — not a post-migration addition. Data migration designed and validated against live DC operations across 20 dry runs before any production cutover. EDI supplier connections remapped to the new WMS with parallel running and reconciliation over 8 weeks. DC cutovers sequenced by volume and complexity with validated rollback capability at each stage. Robotic picking integration tested against full throughput simulation before the first automated pick was released.

All 3 DC cutovers completed within the 16-month capital programme deadline. Zero unplanned downtime during any migration window. Robotic picking integration live from day one of automated operations. DC throughput capacity increased by 34% without additional headcount after robotic system activation. Full WMS source code, integration specifications, and operational runbooks transferred — retailer manages new supplier onboarding independently.

Specialty retailer processing 28 million online transactions per year on a platform that had failed during the previous two Black Friday periods — once with a 4-hour outage costing an estimated £2.4M in lost revenue and brand damage. Replatforming to a cloud-native architecture had been in planning for 18 months but had not progressed to delivery because no vendor had produced a migration plan that accounted for the 230 platform integrations, the PCI DSS compliance obligations, and the hard constraint that no production change could be made between 1 November and 31 December.

NexGenTek mapped all 230 integrations by business criticality and migration dependency before any platform development began. Migration sequenced in three phases against the retail calendar — leaving the full November/December period frozen. New platform load-tested to 3x peak trading throughput with defined auto-scaling triggers and validated failover procedures. PCI DSS payment infrastructure built on the new platform with compliance evidence generated from first transaction. Parallel running with full transaction reconciliation across a 6-week period straddling the post-peak January window.

Migration completed before the third Black Friday. Platform handled peak trading throughput with no incidents — 340% above average daily volume sustained without degradation. PCI DSS compliance maintained through migration without interruption. 230 integrations remapped and validated — platform team owns all integration specifications. Full platform source code and architecture documentation transferred. No outage in the subsequent two peak trading periods.