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Industries · Manufacturing

Manufacturing Software Development: ERP, IoT and AI for the Shop Floor

We connect production, inventory, purchasing and machines into systems your planners and plant heads can actually question, so decisions rely on live data instead of yesterday's spreadsheet.

Overview

How we help manufacturing teams

HANA Platform offers manufacturing software development for discrete and process manufacturers, component suppliers and contract producers. Factories generate data everywhere — machine controllers, stores registers, quality checklists, purchase records — yet plant managers still wait for someone to compile a report before they know what is happening. The gap between data and decision is where money is lost.

We build custom ERP modules, connect machines through IoT, and add AI that answers questions such as "which raw materials will run short next week?" in plain language. All of it runs on one documented stack, so the system remains maintainable long after the original project team has moved on.

Industry challenges

What holds manufacturing businesses back

  1. 01

    Inventory visibility is poor

    Stock levels across stores, work-in-progress and finished goods rarely match reality, leading to emergency purchases on one side and dead stock on the other.

  2. 02

    Unplanned machine downtime

    Breakdowns stop lines without warning, and maintenance teams only learn about deteriorating equipment once it has already failed during a shift.

  3. 03

    Purchasing is manual and reactive

    Buyers raise purchase orders from memory or spreadsheets, so reorder points are missed and the same items are often ordered at different prices.

  4. 04

    Reports take days to prepare

    Production, yield and cost reports are assembled by hand from several systems, so management reviews last month's numbers instead of this week's.

  5. 05

    Off-the-shelf ERP does not fit

    Standard ERP packages struggle with job-work, multi-level bills of materials, batch traceability or plant-specific quality checks.

What good manufacturing software development looks like

We spend time on the floor before writing code. Discovery covers how material moves from receipt to dispatch, where counts are taken, which reports the plant head relies on and which machines cause the most trouble. The design phase turns that into screens that work on a store-keeper's tablet as well as a manager's laptop.

Builds happen in sprints, with each increment tested against real plant data. After go-live, 90 days of hypercare cover the first month-end close and the first production peaks, when hidden edge cases tend to surface. Our ERP development and IoT development teams share the same stack, so machine data and business data meet in one database.

  • Live stock and WIP visibility across plants and warehouses
  • Maintenance alerts based on actual machine condition
  • Human approval rules for every automated purchase
  • Reports generated on demand instead of compiled by hand

ERP AI for a global manufacturer

For a global manufacturer (name withheld), we integrated AI with Odoo ERP so staff can query inventory in natural language, draft purchase orders automatically and receive predictive maintenance alerts. The Odoo ERP AI case study explains the architecture and the approval controls around automated purchasing.

FAQ

Manufacturing: frequently asked questions

Get clearer answers from your plant data

Tell us which ERP and machines you run today, and we will suggest the first integration that would give your planners the most useful visibility.