Asha Schiffli Parts
An exporter running production, stock and every customer order through WhatsApp threads. We replaced the threads with one system.
- Client
- Asha Schiffli Parts
- Industry
- Industrial Manufacturing
- Year
- 2026
- Services
- Manufacturing Software · Web App · Operations
- Live
- ashaschiffliparts.comPrivate portal — accounts are issued by Asha Schiffli Parts.

01The Challenge
Asha manufactures and exports Schiffli embroidery machine parts and trimmer machines — a catalogue in the thousands, sold to customers who order by part number and expect a date. Orders arrived as chat messages. Stock lived in a head and a notebook. A part number mistyped in a thread became a wrong shipment three weeks later, and nobody could answer 'where is my order' without scrolling back through a conversation.
02The Strategy
Make the catalogue the system of record, then hang everything off it — the order, the production run, the dispatch, the stock movement. Access is issued by the sales team rather than open signup, because pricing and order history are per-customer and always have been. The floor gets a view built for the floor, not a shrunk-down admin panel.
03The Solution
Custom manufacturing software: a private ordering portal for customers, production and stock tracking for the team, and reporting that answers the questions the chat threads used to.
- Full part catalogue as structured data, searchable by part number
- Account-gated ordering, with accounts created and controlled by the sales team
- A four-stage pipeline — new request, in production, ready to dispatch, dispatched — that every order moves through visibly
- An attention queue that surfaces pending quantities, delayed jobs and machine overload before a customer has to ask
- Machine-floor monitoring with per-machine load, utilisation and OEE
- Reporting across orders, stock and throughput
04 · The Result
What changed.
- Parts In Catalog
- 2,000+
- Active Customers
- 100+
- Machine Operators
- 20
Figures describe the scale the system runs at today. Order-cycle and error-rate improvements are being measured against the pre-launch process and will be added once there is a full comparison period.
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