Receiving first, then picking, then shipping. Stock, locations and item data carry over in full, warehouse staff learn one zone at a time, and shipments go out every day throughout the rollout.
Changes are made by an outside company that replies a week later. A new carrier, a new label type or a second warehouse is a quarter-long project.
A list from the printer, the picker ticks it off, someone types it into the system after the shift. The error surfaces at the customer, and system stock has not matched the shelf for two days.
Before the holidays there are three times as many orders, and the system cannot split picking into waves or add people without a week of training. Shipments run late.
We fit the scope to your goods: one setup for pallets in a building-materials wholesaler, another for small electrical parts with thousands of item codes, another for food with batches and FEFO.
Three years ago features like these needed a data science team. Today language models read emails, documents and photos, and we build them into the system we make for you. Below is what makes sense in this solution. A person approves, AI prepares.
A photo of the specification or a PDF of the supplier invoice becomes a receiving list with batches. The warehouse worker scans and compares instead of re-keying.
Example a 45-line delivery specification → a receiving list ready for scanning, 2 lines outside the purchase order highlighted
A turnover forecast from issue history shows what to move closer to packing before the season, and how many people tomorrow's shift needs, based on the orders in the queue.
Example an item moving 4× faster than a month ago → a proposal to move it to the fast zone, 3 pallets
Repeated corrections of the same location, receipts without a notice, picking taking twice as long as usual. An alert to the manager before the stocktake finds it.
Example the third stock correction in location C-08 this week → an alert with movement history and the people involved
From the terminal, a phone or a rep in the office, in plain language. The answer comes from current stock, locations and the shipping queue.
Example "will order 8812 go out with DPD today?" → 80% picked, in the 15:00 wave, carrier pickup at 16:30
The ERP stays the source of orders, item data and invoices. Carriers, the B2B platform, BaseLinker and scanners connect to the WMS. From the old system we carry over the data, not the limitations.
No "everything at once over the weekend" cutover. Receiving moves to the new system while picking and shipping run the old way. Each next process starts once the previous one works.
You have the diagnosis, we build the solution. Web applications, B2B portals and automations for companies without a large IT department. Today a system can read emails and documents, suggest decisions and answer customers on its own, so we build that in from the first version, not as an add-on a year later.
We agree scope, price and dates upfront, show progress every week, and the code and data stay yours.
You tell us what the old WMS blocks today and what a day at the dock looks like, we tell you which process to start with and how long it takes.
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