Data and infrastructure
Retail, Manufacturing and IoT
Equipment, till and sensor data — at the moment it happens, not in next week’s report.
- ID
- DI-04
- Rollout stages
- 05
The business problem
In a shop or on a production line the event happens in the physical world, and the system learns about it hours or days later. Real-time stock is unknown, equipment downtime surfaces at the end of the shift, and shrinkage is only found at stocktake.
What we build
We connect till terminals, scales, scanners and sensors into one data stream. Stock updates at the moment of sale, equipment downtime is reported immediately, and an alert fires when temperature or pressure crosses a threshold. That data then feeds planning: when to reorder, when to service.
Rollout stages
- 01
Audit and analysis
We survey the existing equipment and what protocol it can actually report over.
- 02
Architecture and design
We define the data-stream architecture and the alerting thresholds.
- 03
Development
We build the collection layer, the storage and the dashboards.
- 04
Pilot operation
We trial it on one store or one line and verify measurement accuracy.
- 05
Full rollout
We roll out to all sites and set up centralised monitoring.
What the client gets
- Real-time stock, updated at the moment of sale
- Immediate notification of equipment downtime
- Automatic alerts when a sensor crosses its threshold
- Reordering and maintenance planning driven by real data
Possible integrations
- POS terminals
- MQTT
- Modbus / OPC UA
- Barcode / RFID scanners
- 1C
- Grafana
Security approach
The network carrying industrial equipment is separated from the office network. Sensors only send data and accept no control commands, which sharply reduces the risk of remote interference. Till data is encrypted in transit.
Ongoing support
New equipment is connected and alert thresholds are adjusted for seasonal change. Sensor failures are tracked separately.
Related services
- SW-04
CRM, ERP and Business Automation
Sales, warehouse, orders, HR and production — in one system rather than separate spreadsheets.
- AI-06
Computer Vision, OCR and Document AI
Structured data out of images and scans: invoices, acts, plate numbers, counts.
- DI-02
Data Analytics & Business Intelligence
One number, one source: reports stop being something people argue about.
Consultation on this practice
Describe your situation briefly — we will outline the options and the first step.