Built for Pakistani footwear brands running real volume across articles, size runs and multiple outlets.
An order management system for footwear brands is the layer between your sales channels and your warehouse that decides what happens to every order after checkout: whether it is genuine, whether that exact article and size is really in stock, which location should ship it, and which courier should carry it. Footwear makes each of those decisions harder than most categories, because you are not selling a product. You are selling one size of one colourway of one article, and the customer who wants a UK 9 in black will not accept a UK 10 in brown.
Most footwear warehouses store stock in article or barcode sequence. It is the obvious choice and it works perfectly for about three weeks.
The week a drop lands, sequence storage is the fastest system in the world. Everything is in order, any picker can find anything, no training required. Then the middle sizes sell through, because the middle sizes always sell through first, and the sequence starts to hollow out. You now have a rack where the physical order is still perfect and half the bins are empty. You cannot put the new season into those gaps without breaking the sequence that makes picking work, so you either pay for empty space or you break your own system. Most brands pay for the empty space, quietly, for years.
Firaasa tracks the exact location of every article instead of inferring it from sequence. Products can be placed anywhere there is room, including into the gaps a sold-through size leaves behind, and the system still guides the picker straight to them. Nobody memorises a layout. Nobody maintains a sequence. The racking stays compact and the picking stays fast, which in sequence storage are usually a trade-off you have to choose between.
Every order from every channel passes through the same automated pipeline before anyone in your warehouse touches it.
Availability is held at article, size and colourway rather than at product level. That is the difference between knowing you have 40 pairs of a style and knowing you have two UK 7s left in tan. Overselling in footwear is almost always a variant-level accounting failure, not a stock failure, and it shows up as an apology and a cancelled order.
Orders from your own store, Shopify, and marketplaces land in a single queue against a single view of available stock. Two channels cannot both sell the last pair, because they are not reading two different numbers.
Duplicate order detection, AI address validation trained on Pakistani address formats, and rule-based Hold for Processing. Clean orders flow straight through. Anything that trips a rule waits for a human. Your team reviews exceptions rather than every order, which is what makes a seasonal spike survivable without hiring.
Distributed order routing weighs which location holds that exact size, how close it is to the customer, and how loaded that location already is. For a footwear brand with outlets, this is often the difference between a two-day delivery and a cancellation, because the pair the customer wants exists, just not in the warehouse you defaulted to.
Order management decides what should happen. These are the parts that make it happen.
Size and colourway accuracy is the whole game. Barcode-verified picking means the article in the picker's hand has to match the article on the order, which removes the most common footwear error: right style, wrong size, discovered by the customer.
Putaway is compact and defragmented rather than sequenced, so the distance a picker walks per order stays short as the season progresses. Cycle counting runs without halting operations, so inventory accuracy does not depend on shutting the warehouse for a stocktake you keep postponing.
TCS, Leopards, TRAX, PostEx and 25+ couriers sit behind one engine that picks the fastest, cheapest or most reliable option per order rather than defaulting to whoever you signed with first.
Courier payment reconciliation matches what each courier collected against what they actually remitted, line by line. Footwear carries a high average order value, so the percentage that leaks through courier payment errors is a larger absolute number than it is for most categories.
Fit drives footwear returns, and a fit return is usually an exchange rather than a refund, which means the customer still wants to buy from you. Handling it badly is the expensive outcome.
The buyer raises the return inside your published window, the system checks the days since delivery before it even offers the option, your team approves it, and a reverse pickup is booked to the right location. The unit comes back, gets inspected, and is restocked as sellable or held as non-sellable. A pair sitting unprocessed in a returns corner is stock you own and cannot sell.
Footwear brands with outlets are sitting on distributed inventory whether they use it or not. The size a customer wants is often in a shop forty minutes away rather than in the warehouse.
Store fulfilment and click and collect turn those outlets into dispatch points, which shortens delivery distance and rescues orders that would otherwise be cancelled for being out of stock centrally.
Firaasa runs the post-checkout operation for Pakistani brands handling 10,000 to 150,000+ orders a month. These results come from brands across the platform rather than from footwear specifically.
Training a new picker takes about five minutes, because the system tells them where to go rather than expecting them to know. In a category where peak means hiring temporary staff for a drop, that is not a soft benefit.
It is the layer between your sales channels and your warehouse that decides what happens to every footwear order after checkout: whether the order is genuine, whether that exact article and size is actually in stock, which location should ship it, and which courier should carry it. For footwear specifically it has to reason about size runs and article variants rather than single products, because a customer ordering a UK 9 in one colourway cannot be served by a UK 10 in another.
Two things. The system tracks the exact location of every article rather than assuming a storage sequence, so the picker is guided to a specific place instead of counting along a rack. And picking is verified at the barcode level, so the size and colourway in the picker's hand has to match the one on the order before the pick is accepted.
A size exchange is a return plus a fresh dispatch, and it is treated that way. The buyer raises it within your published return window, your team approves it, a reverse pickup is booked to bring the original back, and the replacement size is allocated from wherever it is available across your network. The original unit is inspected and restocked rather than sitting in a corner.
Yes. Order processing is automated rather than staffed, so volume spikes do not require proportionally more people confirming orders by phone. On the warehouse side, new drop stock can be put away into whatever space is free, because location is tracked rather than inferred from sequence.
Yes. Orders from multiple sales channels land in one queue with one view of available stock, which is what stops the same last pair being sold twice on two channels.
Thirty minutes, your articles, your size runs, your outlets. No commitment required.
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