Item masters, BOMs and routings carried over in full, the old system running alongside until the new one takes over. Production keeps going, and the spreadsheets next to the ERP disappear one by one.
The order is created in the ERP, but times, batches and shortages are noted in a spreadsheet next to it. A new hire learns the system, then separately learns what not to do in it.
Accounting calculates product cost from three exports and a spreadsheet with macros. When the result disagrees with the warehouse, two days go into finding the true version.
Every process change means a request to the vendor, a quote and a quarter of waiting. The plant adapts to the system.
We start with the module that hurts most and leave in the old system whatever works.
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.
AI reads the customer's email or PDF, matches the lines to your item master and prepares an order for the salesperson to approve.
Example email "400 brackets like in March please, due 15 Oct" → an order with item code, quantity and due date, ready to click
AI points out duplicate item codes, customers entered three different ways and BOMs with missing lines. The process engineer approves the merge.
Example "Bolt M8x40 zinc" and "BOLT M8 40 ZN" → one merge proposal with the list of orders that use them
The model compares an order's actual cost with the history of similar ones. When material or time is off, the manager gets an alert before the order is closed.
Example sheet metal usage higher than on the previous ten orders of the same series → an alert with a breakdown by operation
The owner or a manager asks without a report from IT. The answer comes from the ERP database.
Example "which orders this month have a margin below plan?" → a list of orders with the variance amount
If part of your current ERP works, it stays and exchanges data with the new modules.
One module moves to the new system, the rest works as before, until every module that should move has moved.
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 you do in the system today and what you do next to it, we tell you which module to start with.
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