Inventory system integration

Illustrative scenario. This case study describes a representative inventory integration pattern. Names, volumes, and timelines are composite examples for planning—not a reference to a specific client unless we document one separately.

Context

Wholesale and retail businesses in Sri Lanka often add a web channel or mobile sales app before their warehouse processes catch up. When each system maintains its own quantity field, teams compensate with manual holds, phone calls, and end-of-week stock takes. That works until catalog breadth or order volume makes errors visible to customers.

This scenario shows how Ryzoe typically unifies inventory signals without forcing a big-bang ERP replacement on day one.

Challenge

The distributor’s warehouse team picked against printed lists while the web shop accepted orders against a stale feed updated once per night. Field reps occasionally sold items that were already committed to wholesale batches. Finance could see revenue by channel but not explain shrinkage or back-order rates by SKU family.

Leadership wanted accurate available-to-promise numbers, audit trails for adjustments, and dashboards that separated operational issues (sync failures) from commercial questions (which categories turn slowly).

Approach

We documented SKU masters, pack sizes, and which channels could sell fractional units versus full cases. An integration service became the boundary: warehouse events (receive, pick, adjust) flowed in; reservations were created when orders were placed and released on shipment or cancellation.

We piloted on a controlled category set with daily reconciliation reports. Exception queues let warehouse supervisors approve mismatches instead of silently overwriting counts. After confidence grew, we expanded categories and connected additional sales endpoints.

Results

Customer-facing channels stopped accepting orders for units that were not actually available under the agreed rules. Warehouse supervisors spent less time on emergency counts driven by web oversells. Category managers gained a single view of on-hand, reserved, and in-transit buckets.

The architecture also left room to add barcode scanning, supplier ASN imports, or demand forecasts in later phases without redoing the core sync model.

Data discipline

Integration projects fail when SKU masters are messy. We schedule a catalog cleanup track parallel to engineering: units of measure, discontinued flags, and channel-specific sellable packs. Reservation rules spell out what happens on partial shipments, pre-orders, and returns so finance and operations agree before go-live.

Monitoring is part of delivery—not an afterthought. Dashboards show sync lag, error rates, and top exception reasons. Runbooks tell warehouse and web teams how to pause a channel, drain queues, and replay events after vendor maintenance windows.

When leadership later asks for forecasting, the historical movement data is already trustworthy enough to experiment with models instead of debating whether the baseline numbers are real.

Services involved

• Business Automation
• Custom Software Development
• Cloud Solutions

What happens next

Bring a simple diagram of how you sell today—warehouse, shops, reps, marketplaces—and where stock numbers live. We will identify the smallest integration that restores trust in availability, then sequence any ERP or catalog cleanup behind that foundation.