AI-Powered DMS Software Vietnam

Two interfaces sit on one cloud backend: a web admin portal built for the Sales Supervisor and Area Sales Manager layer, and a mobile app for distributors and the Field Sales Representatives on their payroll. Masters, Operations, Finance, Analytics and Export all draw from that same backend, and a chat assistant, FEFO batch picking, automatic scheme application and VND credit checks work across every one of those modules.

Plain-language ones: show me my open orders, pull last month's sales for the Mekong Delta, or tell me which outlets on this beat haven't ordered in three weeks. It works from inside either the portal or the mobile app, and it only ever answers using the live records that particular user already has permission to see.

A per-product rule set inside Batch & Expiry Management (FIFO, FEFO, LIFO or Manual) drives Auto-Select Batches, and the platform allocates the batch itself the moment a dispatch is raised, with nobody typing batch numbers in by hand. That matters on a long north-to-south delivery through Vietnam's heat and humidity, where remaining shelf life is often the tightest constraint on the load.

Outlet, warehouse, payment mode and SKUs get selected by the Field Sales Representative first. Then, before acceptance, the platform runs four checks in one pass: stock, every eligible scheme, VND pricing and the outlet's credit position. The same order record then carries on through Delivery Note, Dispatch and Invoice.

A scheme is configured once, across Basic Info, Eligible Products, Eligible Customers and a Buy-X-Get-Y Free Goods Slab structure. From that point, Volume, Value and Free Goods types attach themselves to any qualifying SKU as soon as an order is entered, so a Tết promotion running in one region doesn't depend on someone remembering to apply it outlet by outlet.

Every distributor's Credit Management view carries Total Credit Limit, Utilised, Overdue, DSO and On-Hold status side by side. Whether a receipt comes in as cash, COD, a VietQR transfer or a bank credit, it gets allocated against the right invoice; an over-limit warning shows up right at that allocation step, and an order that would breach the limit can route to an approver instead of just sitting blocked in front of the retailer.

Analytics opens straight onto Sales Trend, Top Products and Top Schemes as KPI cards. Beyond that sits a full library (Inventory, Order, Sales, Operational, Financial, Audit, Field Force and Master Data), and any report in it exports to CSV, queued as Processing, Completed or Failed with an Expires date. A finished file stays downloadable for a week, long enough for a supervisor in Hanoi and one in Can Tho to pull the same extract without rebuilding it.

A single national forecast is exactly what breaks in a market shaped like this: northern retailers typically start building festive stock weeks before the holiday, while southern ones compress the same buying into a much narrower window. Rather than reading demand nationally, the platform reads it at territory and distributor level, and puts replenishment and buffer suggestions in front of the demand planner from there. Nothing gets committed automatically; a person still approves or rejects every suggestion.