OMS or WMS? How to Choose an Order Management System

In this episode of Rozmowy Logistyków, Piotr Skobało and Adam Sobolewski discuss order management systems (OMS) and how they differ from a WMS. They cover the criteria for choosing a system tool to handle the full order lifecycle.

WHAT AN OMS IS AND WHY IT SUDDENLY BECAME IMPORTANT

An Order Management System manages the entire lifecycle of an order — from the moment the customer places it, through payment, fulfillment, and any eventual return. For years, only large companies had this functionality, as part of an extensive ERP. Over the last decade, small and mid-sized companies, moving into multichannel sales (their own website, Amazon, Allegro, further foreign markets), started needing their own solution to integrate all of it — Forrester estimates that 53% of retail companies plan to deploy an OMS.

AN OMS IS AN INFORMATION BUS, NOT A WAREHOUSE

With one sales channel and one warehouse, the architecture is simple: store, warehouse, done. Once more sales platforms and more last-mile couriers get added, integration gets complex — a good OMS acts like a bus connecting all these elements automatically, without needing a manual "protein interface" (a person interpreting data at every stage). The key difference from a WMS: an OMS runs across the organization (order information flow), a WMS runs down into the warehouse (physical fulfillment, goods location, SKUs).

EXAMPLES OF AUTOMATION AN OMS TAKES OVER

Verifying an order has actually been paid for before it's sent to fulfillment; detecting duplicates (a customer placed several orders, some unpaid); validating the delivery address (e.g. in the Romanian market, manually entered addresses can be too long for the courier's system, and this has to be caught before it generates an error); and deciding which warehouse or physical store should fulfill a given order, when a company has more than one shipping location. Automatically generating return labels and creating a return order once the courier scans the label is another classic example.

NOT EVERY COMPANY NEEDS AN OMS

For a simple business with one sales channel and no extensive distribution network, an OMS can be unnecessary overhead. But as multichannel operations grow and a company works with multiple logistics operators, an OMS stops being optional and becomes an integral part of the architecture, without which logistics simply won't function.

HOW TO CALCULATE THE RETURN ON INVESTMENT

A practical method: calculate the cost of handling one order (the order-processing team's costs divided by the number of orders), then estimate how much that cost will drop after automation — e.g. if today the team has to manually verify 4-5% of orders, and after deploying an OMS that drops to 2%, unit cost can fall by 40-50%. The key metric to track is the percentage of orders handled fully automatically, without a human touching them — the higher it is, the closer to a model process.

THE SCALE TRAP: WORKING AT 10,000 DOESN'T MEAN IT'LL WORK AT 40,000

The rule "if it works, don't break it" has a limit, though — a system that holds up at 10,000 orders a month often can't handle 40,000, and at 100,000+ the odds get even worse. Planning a system choice has to look a year or two ahead, not just at the current scale — a logistics leader who only reacts to the business's current needs is always already behind, because deployments of this kind take months.

AN OMS IS NOT THE SAME AS INVENTORY PLANNING

An OMS is an operational system, not a planning one — it doesn't handle sales forecasting or calculating optimal safety stock (that's the domain of separate supply chain planning systems). It can, however, support operational decisions based on product lifecycle — e.g. routing orders for products being phased out through a physical store instead of the central warehouse, to work down excess inventory without unnecessary reverse logistics.