Systems that run real operations.

Orders arrived as WhatsApp messages, production lived in registers, and material loss surfaced only at month-end stock-taking.

We engineered an order-to-dispatch operating system that models the plant as a single event stream: from the raw-material batch a job was drawn from, through every machine and furnace cycle, to the truck and LR number it left on.

The plant runs a multi-stage process line from raw material to finished product. Sales, production, quality, maintenance and environmental compliance each lived in separate sheets.

The ERP we built connects them. Every batch carries its input mix, power, chemistry and lab results from the first stage to the test certificate, while CRM, credit, procurement and finance run on the same data. One codebase ships as a web console and an offline-capable Android app.

The plant runs several production lines making short-run custom orders for many buyers. Orders arrive as WhatsApp text, purchase-order PDFs and Hindi voice notes.

The system converts each order into a costed job on the right line, meters material consumption by supplier batch, runs root-cause analysis when waste drifts, and keeps the owner, the customer and the floor working from the same live state.

The factory makes a multi-size product range across several lines. Orders arrive from distributors and retailers as WhatsApp text, PDF purchase orders and Hindi voice notes like “teen sau piece, bees tarikh tak”.

The system reads each order, allocates finished goods size by size, checks the remainder against every article’s bill of materials, raises work orders across the production stations and tracks raw material by supplier lot, through to the truck, the LR and the payment.

A regulated manufacturer ran stores, production and accounts on disconnected Excel sheets, and physical stock rarely matched the books.

The ERP gives each person one simple screen (three big buttons on the store keeper’s phone, two taps on the operator’s tablet, a four-line WhatsApp to the owner at 8 pm) while the office sees lot-wise inventory with GMP status, every batch on the process line, downtime by cause and cash flow weeks ahead.

The plant takes every export order through several departments, each with its own machines and backlog, before it ships in a container.

The ERP follows each order on one production thread, checks delivery feasibility against materials and machine backlog before a date is promised, maps every machine live from the monitoring system, and tracks quality, maintenance, water, energy and effluent against regulatory limits.

The studio designs and fabricates custom installations in metal, wood, fibre and finishes. Clients send a reference photo on WhatsApp and expect a price the same day, and every event date is an immovable deadline.

The system reads the photo into priced elements, builds the quote from a live rate card with labour hours and margin, and on advance payment generates the bill of materials, stock reservations and a build plan scheduled backwards from the event date. When a job is at risk, it proposes the fix.

The client stocks a large SKU range for a dealer network. Orders arrived on WhatsApp, picking ran on paper, and the warehouse cameras recorded everything while nobody had time to watch them.

We built the warehouse operating system and wired the existing camera network into it. Dealer orders flow from WhatsApp through pick, pack and dispatch; rack cameras count stock on every shelf against the books; dock cameras check cartons loaded against the invoice; and staff are placed on a live floor map by camera re-identification and checked in by face.

On every shop floor, book stock and physical stock drift apart: material parked in the wrong bay, pallets moved without an entry, finished goods counted once a month.

We run object-detection models on the plant’s existing CCTV streams, count pallets, bundles and units per floor zone every few minutes, and reconcile each count against book stock in the plant ERP. A variance raises an alert with the camera frame attached.

A machine idle for twenty minutes, or an operator away from a running press, usually goes unnoticed until the shift report.

We combine CCTV presence and PPE detection with machine run signals to watch every station continuously. Each event climbs an escalation ladder (operator, then supervisor, then plant head), each step on WhatsApp with a live snapshot and an acknowledgement timer.

What it detects

• Operator absent from a running machine
• Machine stopped without a reason code
• Helmet or gloves missing in a marked hot zone
• Unauthorised entry into a danger zone
• Station idle beyond its SLA

The operator runs multiple venues from one HQ. We built its ticketing and programming platform: customer apps for Android, iOS and the web, an HQ command centre for programming, pricing and revenue, a box-office POS and a dedicated gate-scanner app.

Every surface runs from one React Native codebase and one booking engine, engineered for release-day demand when thousands of people want the same seats in the same minute.