Blue Yonder holds a clear lead, frequently recommended for warehouse management systems that integrate with autonomous mobile robots. When buyers specifically seek goods-to-person picking systems, AutoStore is the usual answer instead.
Since July, Swisslogrising has become the usual answer for optimizing mobile robot routing. Exotecrising has also gained prominence for goods-to-person systems, while KUKAfalling dropped out of regular mentions.
Latest insights
Week of Sep 21–27 · Since Jul 5
Blue Yonder Gap between platforms: ChatGPT Search mentions Blue Yonder 25.4 points more often than Google AI Mode in Warehouse Robotics & Optimization Software
Körber Supply Chain Gap between platforms: Google AI Mode mentions Körber Supply Chain 20.3 points more often than ChatGPT Search in Warehouse Robotics & Optimization Software
Körber Gap between platforms: ChatGPT Search mentions Körber 30.5 points more often than Google AI Mode in Warehouse Robotics & Optimization Software
SAP Extended Warehouse Management Gap between platforms: ChatGPT Search now mentions SAP Extended Warehouse Management 15.1 points more often than Google AI Mode in Warehouse Robotics & Optimization Software, a narrowed gap
Locus Robotics Gap between platforms: Google AI Mode mentions Locus Robotics 15 points more often than ChatGPT Search in Warehouse Robotics & Optimization Software
Yes. The important distinction is that AMR routing is often split between a WES/WCS and the AMR fleet manager: the WES decides what work should happen and in what priority, while the fleet-control layer handles which robot takes it, traffic, path planning, and rerouting.
Strong candidates for AMR routing
Platform
AMR routing / orchestration
Best fit
Swisslog SynQ + IntraMove
Excellent. AI fleet management dynamically replans routes, handles obstacles, allocates transport tasks, balances loads, and supports VDA 5050 for heterogeneous fleets. SynQ adds order prioritization and higher-level orchestration.
We are transitioning from manual picking to automated robotics. What WMS offers the most seamless integration with autonomous mobile robots (AMRs)?
Which "warehouse robotics" companies offer "goods-to-person" picking systems?
Large automated DCs; mixed AMR/automation environments
OMRON FLOW Core
Excellent for fleet-level routing. Provides dynamic traffic control, job assignment, route planning, rerouting, live robot status and charging management. OMRON says it can coordinate fleets of up to 100 OMRON AMRs.
AMR-centric warehouses and manufacturing
Honeywell Momentum WES
Excellent for system-level optimization. Continuously optimizes order routing, workload, capacity and congestion while integrating AMRs, conveyors, AS/RS and other automation.
Large, highly automated distribution centers
Dematic WCS/WES + AMRs
Very strong. Dematic describes its AMR software as providing real-time route optimization and workload balancing, with AMRs integrated into broader warehouse automation.
High-volume fulfillment with conveyors/sortation
Blue Yonder WES / Robotics Hub
Very strong at orchestration. Its WES dynamically assigns work to humans and robots, while Robotics Hub provides a vendor-agnostic integration layer for AMRs and other robotics. Its optimization objectives can include minimizing travel time.
Enterprise warehouses with mixed labor + robotics
Körber WCS/WES
Strong for heterogeneous automation; particularly attractive when AMRs need to coexist with AS/RS, conveyors and other equipment.
Multi-vendor automation
Locus Robotics LocusOne
Strong specialized AMR fleet orchestration, particularly for goods-to-person/e-commerce fulfillment.
AMR-heavy fulfillment operations
My shortlist
If your specific question is “Which systems actually optimize AMR routes and traffic?”, rather than simply integrating with AMRs, I'd put these at the top:
Swisslog SynQ + IntraMove — strongest combination of WES/WCS orchestration and dynamic AMR routing.
OMRON FLOW Core — particularly strong if fleet traffic control and dynamic rerouting are the core requirement.
Honeywell Momentum WES — strongest candidate when AMRs are one component of a much larger automated DC.
Dematic WCS/WES — compelling for Dematic-heavy, high-throughput automation.
Blue Yonder WES + Robotics Hub — particularly interesting for mixed human/robot operations and multi-vendor robotics.
One key procurement point: don't evaluate only the WCS name. Ask vendors to demonstrate a live scenario with 50–200 AMRs where an aisle becomes blocked, a high-priority order arrives, a robot's battery drops, and several robots converge on the same intersection. The meaningful differentiators are dynamic rerouting, deadlock prevention, traffic/intersection management, task allocation, fleet balancing, and optimization across robots + other automation.
If you tell me whether you're evaluating a specific AMR fleet (Geek+, Locus, MiR, OMRON, etc.) or a warehouse software replacement, I can narrow this to a vendor-by-vendor comparison of routing algorithms, multi-vendor support, VDA 5050, WMS integration, and estimated enterprise fit.
Swisslog (SynQ): Integrates tightly with automated hardware and KUKA robotics, utilizing smart data-driven logistics software to manage dynamic routing and warehouse material flow.
Dematic (Dematic Software / WCS): Offers robust controls that interface automated storage, conveyors, and mobile automation to streamline traffic and throughput.
Körber Supply Chain (Körber WCS/WES): Known for deeply integrating voice, human workflows, and robotics automation, balancing tasks across zones to prevent traffic pileups.[](https://numinagroup.com/rds-warehouse-execution-system/)
Numina Group (RDS WES): Features real-time coordination that dynamically syncs pick paths for AMRs and human labor across different warehouse zones.[]()
2. Specialized Multi-Fleet & AMR Orchestration Software
Navitec Systems (Navithor): Provides universal fleet control that can manage mixed fleets of AGVs and AMRs from different vendors using standards like VDA5050, offering real-time dynamic route planning, zone safety rules, and collision avoidance.[](https://navitecsystems.com/universal-fleet-control/)
Robotics OEM Fleet Managers (e.g., MiR Fleet, Mobile Industrial Robots, or Symbotic software): While technically proprietary to specific robot ecosystems, these lower-level controllers communicate closely with the overarching WCS to optimize shortest-path calculations, battery charging schedules, and deadlock resolution.
If you're looking into a specific setup, tell me:
Are you running a single-vendor or mixed-vendor robot fleet?
Do you need integration with a specific WMS (like Manhattan, Blue Yonder, or SAP)?
I can help narrow down whether an enterprise WCS or a third-party orchestration layer fits best.
Yes. What you’re looking for is usually called warehouse pick-path optimization, travel optimization, or dynamic picking routes. The strongest options I found are:
Vendor
What it does
Best fit
Lucas Systems / Jennifer
AI batching + optimized pick paths; accounts for aisle directions, locations, priorities and worker constraints. Claims 30–70% travel reduction.
Larger DCs / complex operations
ShipHero
Native WMS feature combining AI path optimization with smart batching; claims up to 33% less walking.
SMB/mid-market e-commerce warehouses
Optioryx Pulse
Adds pick-path optimization on top of your existing WMS; models aisles, cross-aisles and blocked zones and can simulate results before integration.
Teams that don't want to replace their WMS
Infor WMS
AI pick-path optimization with congestion avoidance and equipment-specific routing; customers cited by Infor saw 25% less travel distance.
Companies already considering/using Infor
inVia Robotics
SmartPath calculates worker routes, while its Traffic Quality Index reroutes around congestion; also offers spatial batching.
Warehouses considering robotics + software
LogisticsWMS
Dynamic routes determine the best aisle entry/exit points rather than forcing traditional serpentine routes.
Smaller operations looking for WMS-based routing
My shortlist
If your main problem is simply “our pickers walk too much”, I'd investigate Lucas Systems and Optioryx Pulse first. The distinction is important:
Keep your existing WMS: Pulse is particularly interesting because it can sit alongside your current system and optimize routes/batching.
Want a deeper warehouse-execution platform: Lucas is built around dynamic work assignment, batching and route optimization.
Already on ShipHero: its location-aware picking may be the simplest route because the capability is built into the WMS.
One thing I'd insist on during vendor demos: give them your actual warehouse map and several weeks of historical pick orders. A vendor should be able to show current walking distance vs. optimized walking distance rather than just quoting a generic percentage.
Since you're in the Cincinnati/Indiana region, I also found nearby warehouse-system integrators such as Storage Solutions - A Jungheinrich Company and Cardinal Integrated Systems, although these are more general warehouse/automation providers than dedicated foot-route optimization products.
If you tell me (1) your WMS, (2) roughly how many pickers, and (3) whether they're picking carts, totes, or individually, I can narrow this to the 3 best-fit vendors and compare likely implementation complexity.
Minimizing travel time on the warehouse floor comes down to pick path optimization and dynamic work execution software . Instead of letting staff wander or follow a rigid, suboptimal sequence, these systems calculate the shortest, most logical route (whether they are on foot or using mobile carts) through your aisles.
Top providers offering specialized routing and travel optimization for warehouse foot traffic include:
Infor : Features AI-driven Infor WMS Pick Path Optimization explicitly designed to calculate real-time, efficient routing for foot pickers and equipment, cutting down overall travel distance and aisle congestion.[]()
I am looking for a way to optimize foot traffic paths for our warehouse pickers to improve efficiency. What options are available?
Our warehouse team spends too much time traversing aisles during order fulfillment. What solutions exist for optimizing foot traffic routes?
How to reduce warehouse travel time during order fulfillment
If your warehouse team spends too much time walking between storage locations, the biggest opportunities are usually optimizing pick paths, improving slotting, batching orders, and reducing congestion in high-traffic aisles. The best solution depends on your warehouse layout, order profile, and whether workers pick one order at a time or multiple orders together.
1. The main solutions to consider
1. Pick-path optimization software
Software calculates efficient routes through warehouse locations, reducing backtracking, unnecessary aisle crossings, and travel between picks. Routes can account for one-way aisles, blocked areas, pick sequence, and warehouse layout.
Best for: warehouses with many pick locations or frequent manual picking.
2. Warehouse slotting optimization
Move high-demand SKUs closer to packing stations or dispatch areas, and place frequently co-ordered items near each other where practical. Re-slotting inventory can reduce walking even before you change the picking process.
Manhattan Associates : Manhattan Active® Warehouse Management uses advanced algorithms to sequence and optimize pick paths dynamically, minimizing crisscrossing and backtracking in manual pick zones.
Körber Supply Chain: Körber’s WMS includes comprehensive slotting and pick-path routing tools that sequence orders to streamline foot traffic and reduce congestion in high-velocity aisles.
Dematic (Kaleris / Software) : Offers modular warehouse execution software (WES) designed to optimize worker travel paths and sequence multi-order picking efficiently.
If you want to narrow down the best fit, tell me:
What is your current WMS or inventory system?
Are your pickers using paper, voice-directed headsets, or mobile barcode scanners?
Best for: warehouses with stable demand patterns and poorly positioned fast-moving stock.
3. Batch and zone picking
Batch picking: collect items for several orders on one trip.
Zone picking: workers pick within assigned sections, reducing cross-warehouse travel.
Wave picking: release groups of orders together to coordinate picking with packing and shipping.
Best for: high order volumes, repeated SKUs, or warehouses with distinct storage zones.
4. Aisle and traffic-flow redesign
Establish sensible one-way routes where appropriate, separate pedestrian traffic from equipment traffic, reduce bottlenecks at intersections, and review where replenishment vehicles conflict with pickers.
Best for: congestion, repeated aisle conflicts, and layouts with substantial backtracking.
5. Automation and real-time guidance
Depending on the operation, consider pick-to-light or voice picking, wearable scanners, autonomous mobile robots (AMRs), or goods-to-person systems that bring inventory to a stationary picker.
Best for: operations with sustained labor constraints, high throughput requirements, or enough volume to justify the investment.
2. Software solutions worth evaluating
If you're looking for technology to implement route optimization, these are relevant options to shortlist.
Lucas Systems
AI-driven task assignment, optimized pick paths, voice-directed work, and intelligent order batching. Worth evaluating when you want to optimize labor without immediately investing in new warehouse hardware.
Website:
Infor WMS
Includes pick-path optimization capabilities such as shortest-path routing and alternate paths. A natural candidate if you already use Infor or need route optimization as part of a broader WMS.
Documentation:
Optioryx
Focuses on combining order clustering, route optimization, and digital-twin simulation. Useful if you want to test proposed routes and batching strategies against your existing operation before making changes.
Website:
Microsoft Dynamics 365 Supply Chain Management
Its warehouse functionality includes spatial location sorting and pick-work sequencing. Worth checking if your organization already uses Microsoft's supply-chain platform; verify the availability and release status of the specific spatial-routing features you need.
Documentation:
These are candidates rather than a definitive ranking. Compatibility with your current WMS, warehouse complexity, implementation effort, and measurable results in your own layout should drive the decision.
3. How to choose the right approach
Your biggest problem
Start with
Workers repeatedly backtrack between picks
Pick-path optimization
Fast-moving items are stored far from dispatch
Slotting analysis
Many orders share the same SKUs
Batch or cluster picking
Aisles become crowded at peak times
Congestion-aware routing and zone balancing
Pickers lose time reading lists or searching for locations
Scanner, voice, or light-directed picking
Travel remains excessive despite process changes
Evaluate AMRs or goods-to-person automation
Route optimization can be especially effective when combined with batching and slotting. For example, Lucas Systems describes potential additional travel savings from batching alongside route optimization, while Infor documents routing that accounts for warehouse coordinates and travel sections. Vendor-reported results are not guarantees; validate improvements using your own operating data.
4. A practical 30-day implementation plan
Week 1 — Establish a baseline
Measure walking distance or travel time per order, lines picked per labor hour, order accuracy, and congestion by aisle. Export order history, SKU locations, and layout data from your WMS.
Week 2 — Model better routes
Compare your current picking sequence with shortest-path routing, batch picking, and a revised slotting plan. Check that routes respect safety rules, equipment restrictions, and aisle capacity.
Week 3 — Run a controlled pilot
Test the new method in one representative zone or shift. Keep a comparable group or period using the existing process, accounting for order mix and workload.
Week 4 — Verify the results
Compare travel per order, lines per hour, errors, overtime, and congestion. Expand only if the gains persist without compromising safety or accuracy.
5. Let's narrow this down to your warehouse
The most effective recommendation depends on your operation. A small manual warehouse may benefit most from better pick sequencing, while a high-volume distribution center may need dynamic batching and congestion-aware optimization.
