Every product moves differently. Some fly in singles. Others ship by the case. Optimised Picking in Clarus WMS interprets order mix, velocity, and layout to select the right strategy on the fly. The result is fewer footsteps, fewer touches, and faster despatch… without sacrificing accuracy. Your operation adapts to seasonality and promotions automatically, keeping service steady while costs stay predictable.
Handle eaches, cases, and pallets in one system. Clarus assigns the best method by SKU and order profile, so fast movers get fast paths and bulk lines avoid unnecessary breaks.
Switch method mid-shift when reality changes (batch to zone, wave to tote) based on current queues and cut-offs. Governance keeps choices safe; agility keeps promises.
Travel drops when routes, waves, and totes are optimised for what’s on deck. Accuracy rises with barcode checks and task sequencing. Customers feel the speed in on-time performance.
Scanner-led prompts, GS1/EAN validation, and customer-specific allocation rules prevent lookalike mix-ups. Errors are designed out, not inspected out.
Picking is handled by the system, people focus on exceptions and continuous improvement, not firefighting.
Set targets, protect SLAs, and let Clarus orchestrate the method mix. You get predictable cost-to-serve and steady service in peak, with decision logs to support every review.
Cleaner task queues. Less aisle congestion. The system chooses the method and route; you keep people productive and resolve exceptions fast with guided actions.
Turn data into speed. Tune thresholds for batch size, zone boundaries, and tote capacity. Simulate changes, then push live when gains are clear.
Clarus WMS evaluates live order queues against product velocity, location layout, equipment constraints, and cut-off times. A rules engine selects the picking strategy (tote, batch, zone, wave, bulk, piece, or “pick by unit”) and generates directed tasks. Mobile workflows verify GS1/EAN barcodes, enforce customer-specific allocation, and prevent lookalike swaps. If demand changes mid-shift, the engine can re-sequence or switch method safely without losing progress.
The Workflow Builder binds product master data to scanning in the flow of work. You can configure customer-specific identifiers, carton labels, and allocation preferences. In a recent deployment, identical SKUs destined for different retailers were separated via barcode rules, eliminating cross-shipments and rework. Exports and APIs share pick status and exceptions in real time, so service teams give accurate updates without chasing.
How does Clarus choose between tote, batch, zone, and wave?
Rules consider SKU velocity, order similarity, locations, equipment, and cut-off pressure. The engine selects the most efficient method for the current mix and can change mid-shift if conditions change. You keep control with safe overrides.
Will method switching slow my team down?
No. Switches are governed and only occur where it helps. Tasks re-sequence smoothly, handhelds update instantly, and operators receive clear next steps. Flow stays steady; performance rises.
How do you prevent lookalike item errors?
GS1/EAN scans confirm item identity at pick. For customers with identical products but different destinations, allocation rules and barcode mappings ensure the right label and tote every time.
Can Optimised Picking work with pallets, cases, and eaches together?
Yes. Clarus handles mixed unit types natively. Full pallets go down the fast path, cases use batch or zone, and eaches run tote or piece picking… all in the same wave if needed.
What if my layout changes or we add a new zone?
Update locations and zone boundaries in the platform. Rules and routes adjust automatically. You can test in sandbox waves, then push live with confidence.
How quickly can we see gains?
Most sites see immediate wins from travel reduction and fewer errors once barcode validation and basic rules are live. Further tuning of batch sizes, tote capacities, and zone design compounds the gains over the next few weeks.
