Batch Picking

More orders per trip,
same headcount.

Pick multiple orders in one warehouse trip. Less walking, more orders shipped per hour, without adding pickers.

Why single-order picking limits throughput.

01

Excessive travel time

Pickers walk the same aisles repeatedly for each order. In a typical warehouse, 50-60% of pick time is just walking.

02

Flash sale bottlenecks

During BFCM or product drops, single-order picking can't keep up. Orders pile up while pickers handle one at a time.

03

Rising labor costs

Adding pickers to keep up with order volume increases costs. Efficient picking methods let existing staff handle more orders.

Key capabilities.

Group orders by SKU or location, pick all items in one trip, then sort into individual orders at the pack station.

01

SKU-based batching

Group orders with common SKUs. Pick 50 units of Product A in one trip instead of 50 separate trips.

02

Optimized pick routes

System sequences picks to minimize travel. Serpentine paths through aisles reduce backtracking.

03

Pick-to-cart workflows

Use multi-tote carts. Each tote represents an order. Scan item, scan tote, move on.

04

Configurable batch sizes

Set batch limits based on cart capacity, order complexity, or picker experience.

05

Batching rules in plain English

Describe how you want shipments batched. Fulfil uses AI to write the batching function. Test it on waiting shipments, then make it live.

06

COGS on every pick

Every pick updates inventory value and calculates COGS. Finance sees margins as orders ship.

Batch picking workflow.

01

System creates batch

Groups similar orders automatically.

02

Picker claims batch

Assigns batch to picker on mobile app.

03

Optimized pick path

App guides through the warehouse efficiently.

04

Scan and sort

Scan item, app indicates which tote.

05

Deliver to pack station

Totes ready for packing and shipping.

Results from batch picking.

60%
reduction in travel time
2–3×
more orders picked per hour
50%
lower labor cost per order
Same day
flash sale fulfillment

When to use batch picking.

01

Single-item orders

DTC brands with high volume of 1-2 item orders. Pick 50 units, sort into 50 orders.

02

Flash sales

When thousands of orders hit at once, batch picking is the only way to keep up.

03

Popular SKUs

When 20% of SKUs drive 80% of volume, batch picking those SKUs dramatically improves throughput.

04

BFCM season

Black Friday through Cyber Monday requires 3-5x normal throughput. Batch picking makes it possible.

FAQ

Common questions.

How many orders should be in a batch?
Depends on cart capacity and order complexity. Most operations use 10-25 orders per batch for multi-item orders, or 30-50 for single-item orders. Start conservative and increase as pickers get comfortable with the workflow.
What equipment do I need?
Mobile devices (phones, tablets, or Android handheld scanners) running the Fulfil WMS, and multi-tote carts. Each tote represents one order. A typical cart holds 15-25 totes. Barcode scanners speed up the process but phone cameras work too.
Can I write my own batching rules?
Yes. Batch templates group shipments with fixed filters, such as shipping method, weight, or single-unit orders, up to a maximum batch size. If those filters don't fit how your warehouse works, give the warehouse its own batching function instead. Describe how you want shipments batched in plain English, and Fulfil uses AI to write the function. Test it on the shipments the next run would see, then make it live. On each scheduled batching run, the function gets every shipment waiting for a batch, including shipments in its batches that nobody has started to pick, and replaces those batches with the plan it returns. Batches already in picking stay as they are. Past versions stay readable, and you can start a new draft from one. A warehouse uses its batching function or its batch templates, not both. While the function is live, that warehouse's templates don't run.
What about multi-item orders?
Batch picking works for multi-item orders too. The system groups orders that share SKUs. As you pick each item, the app tells you which tote(s) need it. Some operations use cluster picking for complex multi-item orders.
How does batch picking affect accuracy?
Accuracy improves with barcode validation. Scan each item and the system confirms the correct tote. Errors are caught immediately. Without scanning, accuracy depends on picker attention. Slower single-order picking is sometimes more accurate for complex orders.

Agentic ERP

Run it with your own AI agents.

Let AI do the busywork. Vibe-code a picker-performance dashboard as a Micro App, or ask Claude over MCP which batches are slowing a shift, no developers and no BI license.

Live in weeks.
No Consultants required.

See how batch picking can double your fulfillment throughput.