LogisticsWMS for E-commerce
Specialized solution for e-commerce, with multi-channel management, optimized picking for small orders, automatic scalability and native marketplace integration.
Challenges of E-commerce
E-commerce presents unique logistics challenges that require specialized solutions.
Demand Peaks
Black Friday, promotions and seasonality create extreme variations in order volume
Fast Deliveries
24-hour delivery expectations require ultra-efficient logistics operations
Multi-channel
Simultaneous management of marketplace, online store and physical point of sale
Stock Control
Need for real-time visibility to avoid stockouts and excess inventory
E-commerce Solutions
Advanced technology developed specifically for online commerce needs.
Integrated Multi-channel Management
Unified system that automatically synchronizes stock across all sales channels, avoiding overselling and ensuring consistent information.
Optimized E-commerce Picking
Intelligent algorithms that optimize picking routes for small, frequent orders typical of e-commerce.
Automatic Scalability
System that automatically adapts to demand peaks, redistributing tasks and optimizing resources during campaigns.
Marketplace Integration
Native connectors with the main Portuguese and international marketplaces, automating order reception and stock updates.
What e-commerce fulfilment needs that a general WMS doesn't do
A warehouse shipping pallets to retailers and a warehouse shipping single units to consumers have almost nothing in common apart from the shelving. These are the four areas where the difference shows.
Single-line order picking economics
Most e-commerce orders are one or two lines. Walking distance per order, not picking speed per line, is what sets the cost. That means batch and cluster picking with cart positions, slotting driven by recent sales velocity, and a fast-mover zone next to packing. A WMS built around pallet movements will send a picker across the whole warehouse to fetch a single unit.
Elasticity for demand peaks
November can be worth several normal weeks, in the same building and with mostly the same team. The system has to let you change wave size, split picking and packing into separate roles, create temporary users in minutes with restricted permissions, and keep a queue that prioritises by carrier collection time rather than by order date.
Returns as a first-class flow
In consumer retail a meaningful share of what leaves comes back. Returns need their own inbound flow: linked to the original order, inspected against a grading scale, then restocked, sent for repair or written off, with the outcome recorded per unit rather than per box.
Carrier selection rules per order
The cheapest carrier depends on weight, volumetric weight, destination country, delivery point type and service promise. Those rules belong in the WMS and are applied at packing, when the real weight and box are known, so the label comes out with the right service without the packer having to decide.
General WMS vs e-commerce-ready WMS
The same table we use with 3PL operations, applied to the questions an e-commerce operations manager actually asks in a demo.
| Area | General WMS | E-commerce-ready WMS |
|---|---|---|
| Order profile | Designed around pallets and cases; single-unit picking treated as an exception. | One and two-line orders are the norm: batch picking, cart positions, a packing station per order. |
| Peak handling | Fixed workflows; extra volume absorbed with more hours and more people. | Wave size, priority rules and temporary users are configurable during the peak, with no vendor ticket. |
| Returns | Entered as a generic inbound receipt, unlinked from the original order. | Dedicated flow linked to the order, with inspection, grading and a restock or scrap decision per unit. |
| Carrier integration | Labels printed in the carrier portal, tracking copied back by hand. | Label and tracking generated at packing, with service chosen by weight, destination and cut-off. |
| Marketplace sync | Stock exported by file on a schedule; oversell risk between exports. | Available-to-promise pushed to each channel on every movement, with reserved quantities excluded. |
| Packing rules | Box choice left to the packer. | Box suggestion by dimensions and constraints (fragile, dangerous goods, gift message), printed on the packing list. |
| Cut-off management | Cut-off tracked on a whiteboard. | Each carrier's cut-off drives the picking queue, and orders at risk are flagged before the van arrives. |
How same-day dispatch actually gets done
An online operation's day splits into three moments. Each has its own indicators and its own typical failure.
Before the cut-off
Orders arriving through the morning are reserved against real stock and grouped into waves. Grouping accounts for carrier, collection time and packaging type, so the packing bench isn't switching materials on every box.
During picking and packing
The operator follows a route that walks the locations in the shortest sequence and confirms each item by barcode. In multi-order picking, sorting per customer happens at the packing bench, with a final check before the box is sealed.
At carrier handover
The rule picks the service, the label prints at the bench and the manifest closes per carrier. The tracking number flows to the store and to the end customer without anyone copying codes between systems.
At day close you get three numbers worth more than any monthly report: orders shipped within the cut-off, lines per hour, and percentage of orders complete first time. Those tell you whether you can promise next-day delivery without losing money on it.
Handling peak season
Black Friday and campaign peaks don't break a warehouse gradually. They break it in a specific order, and the fixes are known in advance.
Wave sizing
Small waves keep the packing benches fed and let you re-prioritise as carrier cut-offs approach; large waves cut walking distance per order but delay the first dispatch and clog the consolidation area. In peak the usual pattern is small waves in the morning for already committed orders and larger waves in the afternoon for standard delivery.
Onboarding temporary pickers
You can't train temporary staff in a classroom the week before. Step-by-step guided tasks on the terminal, with barcode confirmation at location and product, let someone start picking on their first shift while the system blocks the mistakes. Give temporary users a restricted profile: picking and packing only, no stock adjustments, no order edits.
What breaks first when volume triples
In this order: the packing benches and consumables, then consolidation and outbound staging, then replenishment to the fast-mover zone, then the returns backlog, which nobody looks at until January. Receiving and putaway are usually last. Watch throughput per hour and the age of the oldest unpicked order: those two show the bottleneck before the dispatch deadline does.
Measuring during the peak isn't for the peak, it's for next year's plan: which items should have been slotted elsewhere, how many pickers were actually needed per hour, and which carrier missed its collection.
Returns processing
A return is a warehouse process with a financial result. Handled badly, the margin on three sales pays for one badly processed return.
Receiving
The return is identified by the return label, the order number or the customer's reference and matched to the original line, so you know what was sold, at what price and under what promise (refund, exchange, warranty). Anything arriving without a match goes to a quarantine location, not into stock.
Inspection and grading
Each unit is inspected against a fixed scale: sellable as new, sellable after repackaging, repair, or scrap. The grade is recorded per unit with the reason code, because the reason is what tells you whether the problem is the product, the listing description or the packaging.
Restocking
Grade A units go back to the pickable location and become available to every channel in the same movement. Repackaging and repair have their own locations and queue, so they don't count as available stock while they wait.
Why bad returns handling destroys margin
Two mistakes cost real money: units sitting in a corner for weeks, which can't be sold and keep losing value, and units put back on the shelf without inspection, which get sold again and come back again with a second shipping cost. Both disappear when the return is a tracked flow with a grade and a location instead of a pile.
Return reasons accumulate. After one season you can see which items come back for size, which for transit damage and which because the photo doesn't match the product: three different problems with three different owners.
Keep exploring
Product pages and store and marketplace integrations connected to this operation.
Picking
Batch and cluster picking for single-line orders.
Stock & Inventory Management
Real-time stock, reservations and cycle counting.
Analytics
Throughput, error rates and peak-day operational reporting.
Pricing
Plans from 25€ per user per month, 14 days free.
Shopify
Orders, stock and dispatch synced with your Shopify store.
WooCommerce
WooCommerce orders imported and stock updated on every movement.
PrestaShop
PrestaShop catalogue, orders and shipping status connected to the WMS.
Jumpseller
Jumpseller store orders picked and shipped from the WMS.
Shopkit
Shopkit orders and stock kept in sync automatically.
Amazon
Amazon marketplace orders and inventory synchronised.
Frequently Asked Questions
Accelerate your E-commerce
Automate logistics, integrate all channels and scale without limits.
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