Introduction
Pulse is the Warehouse Optimization Software (WOS)solution from Optioryx, designed to function as an intelligence layer on top of Warehouse Management Systems (WMS), Transportation Management Systems (TMS), or Enterprise Resource Planning (ERP) systems.
Pulse, "the beating heart of your warehouse, "bundles all optimization solutions, including picking, slotting, and packing under one architecture.
Its primary goal is to help logistics professionals boost efficiency, lower costs, and maximize existing resources through AI-powered optimization modules.
Unlike a traditional WMS, which focuses on tracking and managing tasks, Pulse uses advanced algorithms, data, and simulations to make those tasks smarter and more productive, defining the most efficient way to execute operations.
Digital Twin and Strategic Analysis
The foundation of Pulse's capabilities is the warehouse digital twin, a virtual replica of the customer's warehouse layout. This digital map captures essential layout details, including aisle directions, racks, obstacles, and movement rules, which is critical for optimization algorithms to calculate real travel and test strategies.
This foundation enables two levels of benefit:
1. Operational Optimization: Day-to-day efficiency gains from advanced routing and smarter clustering.
2. Strategic Analysis: The ability to analyze travel patterns and identify bottlenecks without physically altering the floor.
Pulse includes a Warehouse Layout Management system, which is the first building block of the web app, allowing users to create, edit, validate, and put digital warehouses into use.
A key strategic feature is What-if Scenarios. This strategic functionality allows managers and continuous improvement experts to test operational changes, such as adding cross-aisles, changing trolley size,or altering aisle directions, and analyze their impact on performance metrics like walking distance and picking efficiency before implementation.
The Analytics & Insights module providesreal-time operational performance via interactive dashboards and heatmaps,tracking key metrics like total walking distance, and identifying busy areasand potential bottlenecks via the Walking & Congestion Heatmap. TheCompliance View also helps check if SKUs are in the correct place, for example,alerting if flammable goods are stored in an area without fire sprinklers.
1. Picking Optimization
Picking typically accounts for 50–60% of warehouse laborcost, with much of that spend lost to travel due to basic WMS logic and staticrouting. Pulse targets this pain point to increase picking productivity by 30%and achieve up to 2x pick rates.
Pulse Picking Optimization consists of two main algorithmiccomponents: Routing and Clustering.
Routing Optimization
Traditional routing methods, like S-shape or return, are notideal for all situations. Pulse uses modern optimization engines that evaluatethe actual pick set and facility layout each time to choose the shortestpossible path, resulting in a 10–20% reduction in walking.
Clustering Optimization
Clustering, or batching, reduces travel by allowing pickersto handle more lines per tour. Pulse uses algorithms that consolidate ordersinto optimized pick routes while strictly respecting operational constraints,such as maximum volume, weight, cart limits, and order priorities. Smartclustering typically reduces walking distance by up to 35%.
Time-Aware Scheduling
Time-aware scheduling is a vital component of Pulse,addressing scenarios where order release times vary throughout the day. Thisadvanced planning method prioritizes and plans work by due time first,and only then optimizes for walking efficiency.
The sequence is critical: due times (like carrier cut-offsand customer promise times) act as the primary guardrail for on-time shipping.The system continuously rebalances the work queue as new orders arrive,ensuring the right pickers are deployed on the floor and prioritize ordersaround deadlines.
Pick & Pack Optimization
For pick-to-box or pick-to-pallet operations, Pulse combinespicking optimization with packing instructions. This integrated approach treatsthe pick sequence and the pallet stacking as one problem.
• Guidance: Pulse guides pickers along the shortestpath and provides clear packing instructions during the pick tour. Forpallet building, it shows simple 2D top-down build steps to ensure itemsare placed correctly, helping new workers perform efficiently on day one.
• Trade-Offs: The system balances the trade-offbetween the shortest pick route and a stable pallet build, using rulesregarding weight, size, orientation, fragility, and sequence.
2. Slotting Optimization
An optimized slotting strategy is essential for controllinglabor costs and throughput, aiming to minimize walking distances for pickers.Pulse's slotting module provides strategic simulation and operational executioncapability, moving beyond static velocity lists or Excel heatmaps.
Pulse's OptiSlot algorithms analyze SKU characteristics,co-pick affinity (items sold together), and sales rotation to propose the mostefficient product distribution. The final impact of any re-slotting is alwaysquantified by re-running the clustering and pick routes on the proposedconfiguration, ensuring the system finds the global optimum.
Key Slotting Use Cases:
• Operational Reslotting (End-of-Shift Moves):Provides warehouse staff with a daily or weekly "move plan," oftentargeting the top few moves that yield the highest calculated travel timesavings, executed in short shift windows.
• Strategic Full Re-slot: Reassigns every SKU fromscratch when layout or demand has fundamentally shifted, with the planvalidated using what-if analysis before touching the floor.
• Inbound Slotting: During putaway and replenishment,new SKUs are automatically inserted into optimal locations based on affinity,matching weight/cube to location limits, and compliance tags (e.g., hazardousor temperature zones).
• Warehouse Housekeeping: Supports efficiency byconsolidating partial stock, fixing bad fits caused by stale dimensions, andclosing empty locations.
3. Packing Optimization
Packing optimization aims to minimize waste, reduce damages,and lower transport costs by increasing the fill rates of boxes and pallets by10–30%. This area is split into Cartonization (for boxes) and Pallet Stacking(for pallets).
3D Cartonization
Cartonization determines the optimal box size and quantityduring packing, generating a 3D placement plan that respects handling rules.
• Packing Station Guidance: Provides clear packinginstructions—which box to use, item sequence, and rotations—so operators followa plan instead of guessing, reducing handling time and avoiding crushed items.
• Pick-to-Box: Selects the destination box at theorder release stage so items go straight into that box during picking,eliminating the repacking step and saving minutes on multi-line orders.
• Sales Order Planning: Calculates exactly how manyboxes and which sizes the order will require, enabling accurate shipping quotesand flagging orders that may not meet service or size limits.
3D Palletization
Pallet building assists operators in planning how itemsshould be stacked before starting, creating stable, full, and carrier-compliantpallets.
• Stable Pallets and Damage Reduction: Applies limitsand rules specific to operations, such as maximum layer weight, height caps,crush limits, and orientation rules. This prevents tip-overs and productdamages.
• Operator Guidance: Provides step-by-stepinstructions during building, including simple 2D top-down visuals, helpingstaff build stable, compliant pallets.
• Transport Cost Calculation: Uses 3D palletizationto accurately calculate how many pallets are needed at the order-entry stage,allowing teams to quote the right transport cost, reserve capacity early, andimprove overall vehicle utilization. This calculation avoids surcharges thatresult from inefficient manual packing.
By combining these optimization modules—slotting, picking,and packing—Pulse ensures that optimization is done across the entire operationfor the global optimum, rather than optimizing each component inisolation.