ERP Integration for a Fashion Brand Scaling Across Markets
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Overview
What we built
A fashion brand selling across 3 international markets was running its Shopify stores, warehouse system and ERP as separate islands, with people retyping data between them. We connected all of it into one real-time flow.
In plain terms: every order placed on the brand's Shopify stores had to be moved by hand into the systems that actually fulfil and account for it. The warehouse management system did not know what the storefront had sold, the ERP did not know what the warehouse had shipped, and the operations team filled the gaps by typing the same information into each platform. As the brand scaled across 3 international markets the retyping grew with it, stock counts drifted apart, and the team spent more time on data entry than on running operations.
We built a real-time integration layer that connects Shopify, the WMS and the ERP into one flow. Orders are created automatically, inventory syncs live across every channel, and the systems reconcile financially each night. Manual data entry for the operations team fell by 90%, overselling incidents dropped to zero, and the average order now reaches fulfilment in 6 hours instead of 26. The capacity that came back allowed the team to manage expansion into a 4th market without hiring anyone new.
The Problem
Disconnected systems, manual data entry
The brand's growth had outrun its plumbing. Shopify handled the storefronts, a warehouse management system handled picking and shipping, and an ERP handled finance and stock ownership, but the three platforms were completely disconnected. Each held its own version of the truth about orders, inventory and money, and nothing moved between them unless a person carried it across by hand.
Carrying it was the operations team's unofficial full-time job. New orders were rekeyed from Shopify into the warehouse system, shipments were recorded again in the ERP, and stock levels were updated separately in each place. Scaling across 3 international markets multiplied every step: more stores, more order volume, more chances for the copies to disagree. The team hired to run operations was, in practice, running data entry.
The disconnects showed up where customers could see them. Inventory counts drifted between the storefront and the warehouse, which meant items could be sold that were no longer on the shelf. Orders queued for hours before anyone moved them into fulfilment, stretching the gap between checkout and dispatch, and finance worked from figures that were always a rekeying step behind reality.
Three disconnected platforms
Shopify, the warehouse management system and the ERP each ran in isolation, holding separate versions of orders, stock and financial truth.
Operations as data entry
The operations team spent more of its time retyping orders, shipments and stock movements between systems than on the actual operations it was hired for.
Drifting stock counts
Inventory was updated separately in each platform, so what the storefront offered and what the warehouse actually held regularly disagreed, and overselling followed.
Growth multiplying the load
Scaling across 3 international markets added stores and volume faster than the team could retype, making every manual step heavier each month.
What it was costing them
The brand was paying an operations team to be a human integration layer. Orders waited 26 hours on average to reach fulfilment, overselling forced apologies and refunds whenever stock counts drifted, and finance reconciled figures that were perpetually behind. Worst of all, every new market made the manual load heavier, so the systems that should have supported expansion were quietly taxing it instead.
The Solution
Real-time unified integration layer
We built a real-time integration layer that sits between Shopify, the WMS and the ERP and turns three disconnected platforms into one data flow. Rather than replacing any system, the layer lets each keep doing what it is good at while the integration moves information between them the moment it changes, in whichever direction it needs to travel.
Orders now create themselves: a checkout on any Shopify store flows straight into the warehouse system for fulfilment and into the ERP for accounting, with no rekeying anywhere. Inventory syncs live in the other direction, so every storefront always shows what the warehouse can actually ship. A nightly financial reconciliation then closes the loop, checking that orders, shipments and ledger entries agree across all three platforms.
We sequenced the rollout around the busiest flows first: order creation, then live inventory, then reconciliation, so the operations team felt the relief early and retired its manual routines step by step. Staff still work in the same Shopify, WMS and ERP screens as before; the integration simply removes the copying between them, which made adoption a matter of dropping old habits rather than learning new tools.
Key decisions
Integrate, do not replace
Shopify, the WMS and the ERP all stayed. The integration layer connects them in real time, so the brand kept its platforms and lost only the retyping.
Real-time, not batch
Orders and inventory move between systems the moment they change, because a daily batch would have left the storefronts selling from stale stock counts.
Automatic order creation everywhere
Every checkout flows into the warehouse system and the ERP without a human touch, removing the largest single source of the team's manual data entry.
Live inventory as the guardrail
Stock levels sync continuously from the warehouse to every storefront, so overselling is prevented at the source rather than apologised for afterwards.
Nightly reconciliation as safety net
A nightly financial reconciliation verifies that orders, shipments and ledger entries agree across all three platforms, catching any drift before it can compound.
Measurable Impact
What changed after launch
The numbers moved quickly. Manual data entry for the operations team fell by 90%, and the average order now reaches fulfilment in 6 hours rather than 26. Overselling incidents dropped to zero once every storefront began selling against live warehouse stock, closing the most visible gap between what customers were promised and what could actually ship.
The strategic result mattered more: the operations team got its job back. Freed from retyping, the same people absorbed the brand's expansion into a 4th market without a single new hire, and finance now starts each day from figures the nightly reconciliation has already verified. The systems that once taxed the brand's growth now carry it.
Data entry
Orders and stock retyped by hand between three platforms
90% of manual entry removed by automatic flows
Inventory accuracy
Counts drifted between storefront and warehouse, causing overselling
Live sync across channels, overselling incidents at zero
Order to fulfilment
26 hours on average from checkout to fulfilment
6 hours on average through automatic order creation
Team capacity
Consumed by copying data between systems
Managing a 4th market with no new hires
Headline results
Manual data entry for the operations team reduced by 90%
Overselling incidents dropped to zero following live inventory sync
Order-to-fulfillment time reduced from 26 hours to 6 hours on average
Operations team capacity freed to manage expansion into a 4th market without new hires
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