Modulario by AMCEF
Demo

AI Pick-Path Optimization — Shortest Route for Every Order

Modulario AI calculates the optimal warehouse path for every order so pickers travel the fewest possible metres. Fulfilment is 30–45 % faster with no unnecessary warehouse traversal.

Time saved: 30–45 % shorter picking time
Modules: Warehouse

AI Pick-Path: Shorter Routes, More Orders per Day

The average picker in an e-commerce warehouse walks 15–25 km a day. Most of those steps are unnecessary — the result of a non-optimal pick sequence.

Why Pick Sequence Matters

Without optimization, a picker receives an order and collects items in the order they appear on the pick list. This typically means:

  1. Go to aisle B3 for item #1
  2. Go back to aisle A1 for item #2
  3. Go to aisle E7 for item #3
  4. Go back to aisle B5 for item #4

With optimization, the system recalculates the sequence so the picker moves through the warehouse linearly (or in an S-curve) with no unnecessary backtracking.

How AI Pick-Path Optimization Works

Input: Order + Warehouse Map

The system knows:

  • Exact location of every item in the warehouse (aisle, section, rack, shelf)
  • Physical warehouse map (aisle widths, dead ends, loading docks)
  • Current stock at each position (if one SKU has multiple locations)

Optimization Algorithm

For each order, AI calculates the optimal route using a nearest-neighbour algorithm with return-path optimization. For orders with more than 20 items, a genetic algorithm is used.

Result: a sequence number for each item on the pick list + route map on the mobile device.

Batch Picking: Multiple Orders at Once

At higher fulfilment volumes, AI groups 3–8 similar orders into a batch:

  • Orders sharing items from the same warehouse sector
  • Orders with similar geographic concentration in the warehouse

The picker completes one pass and collects items for multiple orders. The system tracks which items belong to which order (using colour-coded totes or a barcode scanner).

Results After Implementation

MetricStandard PickAI-Optimized Pick
Average travel / order280 m165 m
Picking time / order4.8 min2.9 min
Orders / shift (1 picker)75124
Error rate (wrong item)1.2 %0.3 %

Bottom line: the same team ships 65 % more orders per day, or you need 40 % fewer people to handle the same volume.

Mobile App Integration

Each picker receives on a phone or tablet:

  • Visual pick list with sequence numbers
  • Warehouse map showing current position and next stop
  • Barcode scanner to confirm each item
  • “Done” indicator after the last item + dispatch position number

Modules required for this use case

AI pick-path warehouse routing fulfilment warehouse efficiency

Frequently asked questions

Does the optimization work for multi-order picking (several orders at once)?

Yes — the system supports batch picking (multiple orders in one pass), cluster picking, and zone picking. The algorithm minimizes total travel for the entire batch, not just a single order.

Do we need to have the warehouse mapped in the system?

Yes — during setup, a warehouse map is created with coordinates for every location. This is a one-time configuration (1–2 days for a standard warehouse). After that, the system calculates routes automatically.

How does the system handle order priorities?

Urgent orders are always picked first — regardless of batch route optimality. For standard orders, the route is optimized within priority groups.

Want to deploy this use case in your company?

Book a free 60-minute consultation — we'll show you how it works in a real environment.

Dávid Bělousov

Dávid Bělousov

Sales Director

+421 902 826 802 sales@amcef.com
Book a consultation