Mine site productivity and inventory

• It calculates itself. The indicator comes from the position and dwell time the system already records, not from a spreadsheet someone fills in at the end of the day or a one-off study run once a year.
• It separates support time from lost time. Travel is not wasted time: it is necessary time that can be shortened. Seeing it broken out is what lets you decide where to intervene.
• It compares shifts, crews and areas on the same basis and over the same period, instead of debating impressions.
• Bottlenecks become visible. When time piles up at one point in the process, it shows in the data before it shows in the complaints.

• Heat maps of occupancy and movement, to see where activity actually concentrates.
• Historical traceability of every event in the workflow: dwell times, zone changes and the full sequence of the shift.
• Integrates with your ERP over a REST API, so the indicator sits alongside the hours and costs you already manage.
• Dashboard on desktop, smartphone or tablet, covering both the shift in progress and the history.

• Work face: the zone where the task actually happens.
• Rest areas: legitimate and necessary time, measured as such and not confused with a process stoppage.
• Canteen and meals: real dwell time, also useful for sizing meal rotations and capacity.

• Travel: the time between one zone and another, usually the largest loss on extensive sites and the least measured.
• Change house and gatehouse: the real start and end of the shift, against the nominal schedule.
• Restricted zones: controlled access with an immediate alert on entry.

Ghost inventory and losses in the yard

• Stock stops being a declaration and becomes a position. With every unit tagged, existence is not asserted — it is located.
• The search in the yard ends. Finding a piece of equipment among stacks, containers and open areas no longer depends on who remembers where it was left.
• Duplicate purchases avoided. Equipment that cannot be found ends up in a purchase order for something that already exists. Locating it before the order is raised breaks that cycle.
• Usage and rotation cycles per unit: how long an asset has sat still, where it is stopped, and how often it is genuinely used.
• Stocktakes without halting the operation, against live data instead of a scheduled manual count.

Business rules and replenishment

• FIFO: consume first what arrived first, with the entry date recorded by the system itself rather than noted separately.
• Expiry: an alert before a batch expires in the warehouse, not once it already has to be written off.
• Minimum stock: set the minimum per item and have the system raise the alert or trigger replenishment when it is reached.
• Rules per item and per zone: maximum dwell times, authorised locations, and deviations worth flagging.
• ERP integration over a REST API, bidirectionally: the rule fires where the data lives and the purchase is handled where purchasing already happens.

Vehicles and movements

• Vehicle counting per control point, with real entry and exit volumes by hour and by shift.
• Movement classification by vehicle type, separating productive flow from services and visitors.
• Automatic licence plate recognition with full traceability: the entry and exit history of each vehicle stays available for review, without anyone writing down a plate by hand.
• Cross-referenced with the operation: vehicle movement is read alongside dwell time per zone, so a truck stopped longer than it should be shows up as data, not as a remark at shift handover.

Risks detected as they happen

• Worker fatigue: detection of fatigue signals so you can act before the incident, not after the report.
• Equipment failures and hazardous conditions detected from the process imagery.
• Theft and suspicious activity: notification while it is happening. The camera stops being an archive reviewed after the fact and becomes one more sensor.
• Integrated with the alerts that already exist per zone and deviation, in the same dashboard and over the same REST API.

• Precise positioning without GPS. Using AlfaUnits IoT devices, RTLS technology and artificial intelligence, we determine position to within a few centimetres — and how that position moves.
• No fixed read gates. BLE makes it possible to know where a device is at all times, not only when it crosses a control point. That is the fundamental difference with RFID.
• Tags on people, equipment and inventory, with materials designed to be harmless and frequencies that do not interfere with nearby devices.

• Telemetry of the production environment: electrical consumption, motor ON/OFF status, fluid leaks and gas measurement.
• Early alerts on out-of-range parameters or process deviations, so you act before rather than after.
• SaaS model: Alfametrics absorbs much of the start-up cost and the subscription is sized to what needs covering. Time-boxed pilot plans are available to test it on your operation.

• Smart Agro: post-harvest processes, exposure times that affect fruit condition, and automated stacking of pallets and bins in cold storage.

• Smart Industry: plants and distribution centres, with the position and dwell time of every inventory unit and bottlenecks in plain view.