Still routing orders manually in 2026? Here's what you're leaving on the table

Every fast-growing retail brand knows this moment well. Orders pour in from multiple marketplaces, the D2C website and a few stores. The sale is live. The team is doing everything right - sharp campaigns, ready products and real demand. But somewhere between placing and shipping the order, things slip. A cancellation, a delay and a customer lost.

Most times, it is not a people problem. It is actually an infrastructure problem.

In 2026, that problem has a name: traditional order management systems (OMS) that were not built for today’s fast, complex and multichannel commerce.

The solution? AI-powered OMS

This blog explains what that change really looks like, the challenges brands face, how AI is changing the game and why brands using an intelligent order management system now will be hard to beat later.

Your old OMS wasn't built for this

Let us be honest: traditional OMS was made to track orders, sometimes sync inventory and connect to a few warehouses. It worked for its time.

But retail in 2026 is different. Customers switch easily between D2C websites, marketplaces and stores expecting a smooth experience everywhere. Behind the scenes, teams still update inventory manually, handle returns on spreadsheets and choose order routing by guesswork.

Here are the common problems:

• Fragmented channel visibility: Orders come from many channels, each using different systems. No single clear view and teams hardly know what is happening across channels.

• Manual inventory sync: People update stock manually, causing errors. Products show as available when they are not, leading to cancelled orders and lost trust.

• Static order routing: Traditional OMS uses fixed rules, like warehouse A is first and B is second. It ignores real-time stock, delivery speed or cost.

• Reactive exception handling: Problems like stockouts and courier delays are found after customers do. The damage is done.

• Returns chaos: Without automation, returns require manual effort for pickup, checking and restocking.

These inefficiencies cost a lot. In 2023, U.S. retailers faced $743.85 billion in merchandise returns - 14.5% of sales, with online orders at 17.6%. Poor OMS hurts operations and profits.

What an AI-powered OMS actually does differently

Switching to an AI-native order management system is not just a software update. It changes how every order decision is made.

Here’s what is new:

• Intelligent order routing: AI looks at real-time stock, cost, delivery speed and customer location to pick the best multichannel order fulfillment automation option. If things change suddenly, OMS with AI order routing adapts instantly to keep orders on track.

• Real-time inventory visibility: All channels and locations show live stock updates. No more phantom real-time inventory visibility or avoidable cancellations.

• Automated exception handling: AI spots problems early like low stock or rising returns and reroutes orders before customers notice.

• Demand forecasting: AI learns from past data to predict spikes and trends, so inventory is ready before peak times.

• Automated returns management: AI handles pickups, checks and restocking without manual work.

• Omnichannel fulfillment intelligence: Ship-from-store fulfillment, click-and-collect, dark store fulfillment - AI OMS makes stores active fulfillment points, not just inventory holders.

As per the SNS Insider research, the industrial automation market was worth USD 182.1 billion in 2023 and is expected to grow to USD 377.9 billion by 2032, with an annual growth rate of 8.45% from 2024 to 2032. Retail is leading this shift.

The business advantage: What brands actually gain

Beyond tech, what does AI-powered OMS do for a brand’s growth and profit?

• Faster fulfillment, fewer cancellations: Smart routing and live inventory cut cancellations caused by stock errors and slow handling, boosting revenue.

• Lower logistics costs: Routing orders to the cheapest fulfillment point saves money over thousands of orders.

• Peak-proof operations: Instead of hiring more staff for sales spikes, AI OMS scales automatically, letting teams focus on exceptions.

• Better customer experience: Accurate delivery times, proactive updates and faster returns keep customers coming back.

• Data-driven decisions: AI turns order data into insights on trends and problems, helping teams improve constantly.

• Scalability without more staff: AI OMS handles complexity through automation, so brands grow without needing more people.

What fynd can do for your brand

Fynd’s OMS is made for today’s fast, multichannel retail needing smart automation across all order steps.

Core features:

• Central order management from online stores, marketplaces and retail outlets in one dashboard with live updates.

• AI-powered routing that assigns orders to the closest warehouse, store, or partner, rerouting automatically if needed.

• Automated returns with smooth workflows for pickup, quality check and restocking, cutting manual work.

• Omnichannel inventory sync that stops stock mismatches and cancellations.

• Deep integrations with ERP, WMS, POS and marketplaces, fitting with brands’ existing tech stacks.

Fynd’s platform data shows 30% faster deliveries, 27% lower delivery costs and 50% fewer return-to-origin cases.

Real brands, real results

Being Human Clothing: 40–50% faster order processing

Growing across D2C and marketplaces, Being Human struggled with siloed orders, inventory and support. During peak sales, the system was overwhelmed.

After using Fynd OMS with AI, order processing sped up 40–50%, order volume almost doubled, and overhead stayed flat. When demand tripled to six times, the platform handled it, the team did not have to.

Read the case study

Your OMS is the bottleneck. AI just fixed it

In 2026, AI in order management is not optional, it is essential.

Brands with AI OMS handle peak times smoothly, cut cancellations, reduce returns and fulfill faster without hiring more staff. Those still using manual methods waste energy solving problems software should fix.

AI OMS is no longer a luxury for big brands. With high customer expectations, tight margins and complex multichannel sales, it is a must-have.

Brands that act now will be unbeatable by 2028. 

Want to see how Fynd OMS can work for your brand? Book a free demo →