The WMS that plans the day and steers your floor.
Bitlog is the WMS for warehouse managers who are done planning the day by hand and reacting all afternoon. It plans every order around its carrier cut-off, steers your people and your robots, and acts on its own, so orders ship on time without the manual scramble.
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Plans the day around your cut-offs, then reworks the plan every few minutes.
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Steers people and robots in one order flow.
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Live in weeks. Productive in 15 minutes.
We know what your Thursday looks like
Before we talk software, picture the last bad afternoon. And remember, none of this is on you. It's what happens when the operation outgrows the tools running it.
The day's priorities were set by hand this morning. By 2 p.m. they're already out of date.
One order per picking round, routes chosen from memory, so everyone walks too far.
Three orders to the same address ship as three separate parcels.
Inbound arrives unannounced, and replenishment turns into a manual scramble.
The ERP says 40 in stock. The shelf says otherwise, and you find out at the year-end count.

We also know what a really good Thursday could look like
Same floor, same volume, a very different afternoon. The orders still arrive all day, but the plan absorbs each one as it comes, so nothing sits waiting for you to notice it.
A WMS for warehouse managers takes the planning off your plate and keeps it current all day. Bitlog's Autopilot plans every order around its carrier cut-off, batches the picking, routes it the short way, and triggers the confirmations and documents the moment they're needed. You steer the floor instead of chasing it.
Here's what that changes, day to day:
Autopilot plans the day, then rebuilds the plan every few minutes.
Which means a new order, a changed purchase order, or a shifted priority is absorbed automatically, not left waiting for the next wave. Autopilot keeps your whole open-order backlog in memory and re-optimizes it every few minutes.
Batch picking on trolleys with optimized routes.
Which means up to 30% less walking for the same orders.
Orders to the same address consolidate, and fixed delivery days are matched for you.
Which means fewer parcels and lower freight, without the manual sorting.
Inbound suggestions and continuous stocktake.
Which means stock you can trust on the shelf, not a surprise at year-end.
Autopilot is Bitlog's optimization engine, not AI. It runs on advanced algorithms that never stop re-planning, so the floor reacts to reality as it happens instead of working a snapshot that's already out of date.
How does a WMS reduce picking errors?
By guiding every pick and keeping stock accurate in real time. Pickers follow a directed route to the right bin and confirm on the mobile app, and every pick updates stock the instant it happens. The wrong-SKU picks that turn into returns and angry emails mostly stop happening, because the system won't let the picker guess.
And accurate stock pays off well past the pick:
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Pickers pick with confidence. What the system shows is what's on the shelf, so nobody walks to a bin that's already been picked clean.
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You stop overselling. Orders only promise stock that's really there, so customers don't get an out-of-stock apology after they've already checked out.
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Replenishment runs on real numbers. Reorder points and buffer moves follow what's actually in the building, not a count that drifted weeks ago.
Care of Carl: 40% more efficient, 25% lower staffing cost
Care of Carl runs premium menswear retail across channels, with the shipping pressure that comes with it. Since running the floor on Bitlog, they've seen a 40% increase in operational efficiency and a 25% reduction in staffing costs, the kind of numbers that hold up when management asks where the money went.
Magnus Olsson, Head of Logistics, Care of Carl.
Different roles ask different questions
Your ops lead, your CTO, and your CEO each weigh a different thing. Here's the page written for each.
The business case and payback time
Bitlog typically pays for itself within 2 to 4 months through picking efficiency gains and shipping cost savings. If your CFO wants numbers, this page has them, including a breakdown of where the savings come from.
See the CFO page arrow_forward
How does this fit my stack?
Cloud-native on Azure, API-first, and your ERP stays the system of record. AI that assists and coaches today, with agent actions on the roadmap.
See the CTO and CIO page arrow_forward
Can the warehouse keep up as we grow?
Ship more from the same floor and grow without a new site. Apohem beat their picking target by 45% on average - on the footprint they already had.
See the CEO page arrow_forwardSee the payback on your numbers
We'll walk your volumes, your cost lines, and your current setup, and show you the payback in plain figures. No hand-waving.