Logistics & Supply Chain · Inventory Management Systems

Warehouse Management System Development

Slotting, pick paths, and wave picking built around how a warehouse floor actually moves, not a generic stock count.

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Container port with blue cranes and a cargo ship on misty water

Warehouse aisle lined with tall shelves of boxed stock

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Code in your repository from day one

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Senior engineers do the work

How we work

A warehouse management system earns its cost on the floor, not in a report. Two operations can hold identical stock counts and still run at very different speeds if one has fast-moving SKUs slotted next to packing stations and the other has them scattered wherever there was open shelf space when they arrived. Slotting, deciding where each SKU physically lives based on how often it moves and what it's commonly ordered alongside, is one of the few decisions a WMS makes that shows up directly in labor cost per order.

Picking efficiency compounds from there. Wave picking groups a batch of orders for release together so a picker walks an efficient route once instead of making a separate trip per order, and the pick path itself needs to sequence stops to minimize backtracking across the warehouse. For a 3PL operating on behalf of several clients, none of this matters if the billing side can't keep up: storage, pick, and pack activity has to tie back to the specific client whose goods were handled, with a fee schedule that can differ from client to client, or the operations team ends up reconciling invoices by hand at the end of every month.

We build warehouse management systems around slotting logic, wave picking, barcode and RFID-driven putaway and pick confirmation, multi-carrier label generation, and, for 3PLs, client-level billing tied directly to the activity the warehouse floor actually performed.

Requirements

What logistics & supply chain teams need from it

Slotting logic based on velocity and order affinity
Fast-moving SKUs need to sit close to packing stations, and items commonly ordered together benefit from being slotted near each other, which requires the system to analyze actual order history rather than assigning locations on a first-come, first-shelved basis.
Wave picking and batch release
Releasing a batch of orders together as a wave, rather than one at a time, lets a picker walk one efficient route covering several orders, which only works if the system can group orders sensibly by zone, carrier cutoff, or priority.
Multi-carrier label generation and manifesting
A warehouse shipping through more than one small-parcel carrier needs labels and manifests generated correctly per carrier's format and rate rules at pack-out, not a manual carrier selection step that slows down every order.
Client-level billing for 3PL operations
A 3PL storing and fulfilling for multiple clients needs storage, pick, and pack activity tracked and billed per client against that client's specific fee schedule, since a single blended cost figure doesn't support accurate client invoicing.
Cycle counting that doesn't stop the floor
Physical inventory needs to stay accurate through cycle counts scheduled by zone on a rotation, allowing counting to happen alongside active picking and receiving rather than requiring a full warehouse shutdown to reconcile stock.

Scope

Features we build

Slotting optimization
SKU placement recommendations based on pick velocity and order affinity data, positioning fast-moving items for shorter travel distance and updating as demand patterns shift over time.
Pick path optimization
Pick routes sequence stops to minimize backtracking across the warehouse floor, adjusting automatically as slotting changes or as new orders join a wave.
Wave and batch picking
Orders group into waves by zone, carrier cutoff time, or priority, letting a single picker walk one route that covers multiple orders instead of picking each one individually.
Barcode and RFID scanning throughout the flow
Putaway, picking, and pack confirmation happen through barcode or RFID scans at each step, catching a misplaced item or a picking error before it reaches the shipping dock.
Multi-carrier label generation
Shipping labels and manifests generate automatically in the correct format for whichever small-parcel carrier a shipment is routed through, applying that carrier's current rate and service rules at pack-out.
3PL client billing
Storage, pick, and pack activity tracks per client and bills against that client's specific fee schedule, replacing a manual month-end reconciliation with figures the system already captured as work happened.
Cross-docking workflows
Inbound freight that's already allocated to an outbound order routes directly to a staging area for immediate reshipment, skipping a full putaway and pick cycle for freight that doesn't need to sit in storage.
Zone-based cycle counting
Counts are scheduled by warehouse zone on a rolling basis, so inventory accuracy gets checked continuously without halting picking or receiving in zones not currently being counted.

Compliance and standards

OSHA warehouse safety recordkeeping
carrier compliance labeling standards (SCAC, GS1)

Systems it connects to

Manhattan Associates
Extensiv 3PL Warehouse Manager
EasyPost
Zebra barcode scanners
NetSuite
UPS WorldShip

Build vs buy

When to build it and when to buy it

Manhattan Associates and NetSuite's WMS module cover standard single-warehouse slotting, picking, and shipping well, and an operation without unusual zone requirements or multi-client billing is usually better served by one of these than a custom system, given how mature their picking logic already is.

Custom development is worth it when a warehouse mixes pallet, case, and each-pick zones with hazmat or cold-storage requirements those platforms don't model cleanly, when a 3PL needs client billing rules that differ enough across clients that a standard fee module can't represent them, or when the WMS needs to integrate tightly with a proprietary TMS or ERP those platforms can't reach directly.

Technology

Typical stack

FAQ

Frequently asked questions

How does slotting optimization decide where to place inventory in the warehouse?

It analyzes actual pick velocity and order affinity, which items sell fast and which are commonly ordered together, and recommends locations that put high-velocity SKUs closer to packing stations while grouping frequently co-ordered items nearby, cutting travel distance per pick.

What is wave picking and how does it speed up order fulfillment?

Wave picking releases a batch of orders together, grouped by zone, carrier cutoff, or priority, so a picker walks one efficient route covering several orders instead of making a separate trip per order, which reduces total travel time across a shift.

Can the WMS generate shipping labels across multiple carriers?

Yes, labels and manifests generate automatically in the correct format for whichever carrier a shipment is assigned to, applying that carrier's current rates and service rules at the moment of pack-out rather than requiring manual carrier selection for every order.

How does a 3PL bill different clients for storage and fulfillment activity?

Storage, pick, and pack activity is tracked per client as it happens on the floor and billed against that specific client's fee schedule, which replaces a manual month-end reconciliation with figures the system already captured in real time.

Can cycle counting happen without stopping warehouse operations?

Yes, counts are scheduled by zone on a rolling basis, so inventory accuracy checks happen continuously in one part of the warehouse while picking and receiving continue uninterrupted in zones not currently being counted.

Should we use Manhattan Associates or build a custom WMS?

Manhattan Associates and NetSuite's WMS module handle standard single-warehouse slotting and picking well. Build custom when your operation mixes pallet, case, and each-pick zones with special handling requirements, or when a 3PL needs client billing rules those standard fee modules can't represent.