Hero
Business Automation
crm-workflow-automation
Logistics & Fulfillment

Multi-Platform Order and Shipping Automation for a 3PL Provider


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Overview

What we built

A third-party logistics provider was spending over 6 hours a day copying orders between systems by hand. We connected its sales platforms to its warehouse, and the copying stopped.

In plain terms: the warehouse took orders from 4 different ecommerce platforms, and none of them talked to the system that actually runs the warehouse. Staff read each order off one screen and typed it into another, then booked every shipment with a courier by hand. That consumed more than 6 hours of every working day, and each retyped order was a fresh chance to send a parcel to the wrong address.

We built one integration layer that does the copying instead. Orders now flow from all 4 platforms straight into the ERP, with the courier chosen and the shipment booked automatically by business rules. Daily data entry fell from 6 hours to under 20 minutes, wrong-address errors dropped by 94%, and an order that once waited 4 hours is now processed in 18 minutes. The build paid back its cost within 7 weeks through labour savings alone.

The Problem

Manual order copying across platforms

The provider's business was fulfilment for other people's shops: merchants sold across 4 ecommerce platforms, and every one of those orders had to reach the warehouse's ERP before anything could be picked, packed or shipped. There was no connection between the two sides. Warehouse staff worked through each platform's order screen in turn, copying customer names, addresses and line items into the ERP field by field.

Shipping was just as manual. Once an order sat in the ERP, someone chose a courier, keyed the consignment details into the courier's own portal and booked the collection. Between the copying and the booking, the routine consumed more than 6 hours of staff time every day, and the workload grew with every new merchant the provider signed.

Hand-copying at that volume is never clean. Transposed digits and mistyped postcodes turned into parcels delivered to the wrong address, which meant refunds, re-shipments and awkward conversations with the merchants whose customers were let down. Orders also queued behind the manual process, taking 4 hours on average just to be processed.

Orders retyped by hand

Every order from the 4 ecommerce platforms was read off one screen and typed into the ERP, field by field, by warehouse staff.

Manual courier booking

Each shipment was booked individually through the courier's own portal, with staff choosing the service and keying consignment details for every single parcel.

Wrong-address shipments

Retyping addresses at volume produced steady delivery errors: parcels sent to the wrong place, refunds to process and merchants left apologising to their customers.

Six lost hours daily

The copying and booking routine consumed over 6 hours of warehouse staff time every day, and the burden grew with each new merchant onboarded.

What it was costing them

More than 6 hours of warehouse staff time disappeared into clerical copying every day, and the bill did not stop there. Orders waited around 4 hours just to be processed, wrong-address shipments burned money on refunds and re-deliveries, and every new merchant made the routine heavier. The provider was paying skilled warehouse staff to be typists, and its growth was capped by how fast they could type.

The Solution

One integration layer, automated booking

We built a centralised integration layer that sits between the sales channels and the warehouse. It pulls orders from all 4 platforms through their APIs as they arrive, so nothing depends on anyone watching an order screen. Each platform describes an order in its own format, so the layer normalises every one into a single unified schema before anything downstream touches it.

From there, orders are pushed into the ERP automatically, in the exact shape the warehouse already works with. No ERP replacement, no retraining: the system staff knew simply started filling itself. Validation happens on the way through, so the address that reaches the pick list is the address the customer actually typed.

Courier selection and booking moved onto business rules. The layer weighs each order's details, picks the appropriate courier service and books the shipment without a human in the loop, while staff keep full visibility of what has been booked and step in only on exceptions. The result is a booking process that runs at the speed orders arrive rather than the speed a person can type.

Key decisions

01

A single integration layer

Rather than four point-to-point fixes, every platform feeds one central layer, so adding a new sales channel means one more connector, not a new project.

02

Normalise before anything else

Every incoming order is converted into one unified schema first, so the ERP, the courier rules and the exception handling all work from identical, predictable data.

03

Keep the ERP in place

The warehouse's existing ERP stayed exactly where it was. The integration feeds it automatically, so staff kept the workflows they already trusted with none of the retyping.

04

Business rules book the courier

Courier choice was encoded as explicit rules rather than individual judgement, making every booking consistent, auditable and instant, with humans stepping in only for exceptions.

Measurable Impact

What changed after launch

The manual routine collapsed almost entirely: daily data entry fell from 6 hours to under 20 minutes, and average order processing time dropped from 4 hours to 18 minutes. Wrong-address shipment errors fell by 94%, which meant fewer refunds, fewer re-deliveries and far fewer difficult conversations with the merchants whose customers depend on the warehouse.

The economics were just as direct. Through labour savings alone, the integration paid back its development cost within 7 weeks. Warehouse staff who had spent their mornings copying orders now spend that time picking, packing and shipping, and the provider can take on new merchants without the admin burden growing in step.

Order entry

Every order retyped by hand into the ERP

Orders flow into the ERP automatically

Shipment booking

Each courier booking keyed in manually

Couriers selected and booked by business rules

Daily admin

Over 6 hours of copying per day

Under 20 minutes per day

Processing speed

An order took 4 hours to process

Processed in 18 minutes on average

Headline results

Manual data entry time reduced from 6 hours to under 20 minutes per day

Wrong-address shipment errors dropped by 94%

Average order processing time reduced from 4 hours to 18 minutes

Integration paid back its development cost within 7 weeks through labour savings alone

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