Warehouse Robotics Orchestration

Two hundred robots that stop waiting on each other

Botpylon coordinates every picking robot on your warehouse floor, learning congestion patterns to cut travel time and turn a fleet of machines into one system.

38-52% pick-path travel reduction in pilot deployments
94% robot fleet utilization vs 71% industry average
<300ms dispatch latency per robot task assignment

Three steps from connection to coordination

01 / Connect

REST API ingestion from your WMS and robot fleet controllers

Botpylon integrates with your existing Warehouse Management System and robot fleet APIs in days, not months. No proprietary hardware required.

02 / Learn

Real-time floor traffic graph, learning congestion zones

Botpylon builds a live graph of your warehouse floor, continuously updating path weights based on observed congestion patterns and robot behavior across shifts.

03 / Dispatch

Optimized task assignments pushed to each robot in under 300ms

The Botpylon optimizer pushes congestion-aware task assignments back to each robot, balancing pick load across zones and eliminating aisle bottlenecks in real time.

The dispatch brain your WMS never shipped

Your WMS knows what needs to be picked. Botpylon knows how to move 200 robots to do it without them blocking each other. The difference is a real-time floor graph and a task optimizer that recalculates every second from live telemetry.

Botpylon is not a WMS and does not sell robots. It is the coordination layer between the systems you already run and the physical fleet you already own: fleet topology, congestion heat zones, robot states, and dispatch queue in one operational view.

Explore the Platform

One system. Every robot. One floor.

  • Mixed-vendor fleet coordination

    When your floor runs AMRs from one vendor and AGVs from another, neither vendor's software sees the other's robots. Botpylon ingests telemetry from both fleet controllers simultaneously, treating every robot as a node in a single unified dispatch graph regardless of manufacturer.

  • Congestion prediction before the jam forms

    The floor graph engine builds per-shift congestion signatures for every aisle and zone intersection. Path weights are pre-adjusted based on predicted density, not only observed density. Robots are rerouted before the hotspot forms, not after three robots are already queued.

  • Drop-in WMS integration, no replacement

    Botpylon reads task queues from your existing WMS via standard REST API. Your WMS stays. Your robot firmware stays unchanged. Standard connectors deploy in 3-5 business days, with no rip-and-replace requirement on either the software or hardware side.

1 to 500+ robots per floor, from a single-zone pilot to a full DC deployment
3-5 days to live unified dispatch via standard WMS REST connector
AMR + AGV robot categories coordinated in one dispatch session, regardless of vendor

What changes when robots stop waiting

3PL, Phoenix AZ, 85 AMRs

TriCore Fulfillment

Cross-floor aisle congestion causing 23% robot idle time per shift. Two floors, no unified dispatch. Robots from different vendors unable to coordinate.

44% reduction in peak congestion events per shift
Read the case study
E-commerce, Tempe AZ, 140 mixed fleet

Cascadia Commerce

AGV and AMR stop-and-wait cascades from collision avoidance failures. Fleet utilization stuck at 68% despite hardware investment.

91% fleet utilization, up from 68% before Botpylon
Read the case study

Botpylon connects to the systems you already run.

WMS ERP Robot Fleet APIs AMR Controllers AGV Networks IoT Sensors Conveyor Systems

See Botpylon on your warehouse floor.

Upload your floor plan. We model the dispatch. You see congestion reduction before you commit to anything.

Request a Floor Demo