Operating context
Fuel and power prices have been volatile, and for many process plants energy is now the largest controllable cost after raw materials. Volumes are recovering in several markets and new lines are coming online, so the question has moved from adding capacity to running it efficiently.
Compliance is turning into data work. Exporters to Europe are preparing for digital product passports under the EU Ecodesign for Sustainable Products Regulation, with textiles among the first product groups. Pharmaceutical lines must print and verify serialised codes. In Pakistan, cement and several other sectors must reconcile every bag or unit against tax track-and-trace stamps. With financing costs still high, finance teams typically ask for improvement projects to pay back within 12–18 months.
Regulatory points are general information, not legal advice. Rules change, so check the current position with your advisers.
Challenges
Most plants see one utility bill and a few main meters. Without sub-metering by line, compressor, boiler and chiller, it is hard to know which product, shift or machine drives cost, or when to switch between grid, captive generation and solar.
Manual inspection catches defects at the end of the line or at the customer. Downgrades, rework and claims eat margin, and the root cause, whether a machine setting, a raw-material batch or a shift, is rarely recorded.
Kilns, mills, looms, compressors and presses fail without warning. Maintenance is calendar-based or reactive, and spare parts are held just in case, tying up cash.
Buyers ask for lot genealogy and chemical and energy data per order. Regulators ask for stamped or serialised units reconciled with dispatch. The data exists in machines, spreadsheets and the ERP, but it is not joined up.
PLCs, SCADA screens and machine controllers from different suppliers each hold part of the picture. Without a common data layer, every report starts with a manual export.
Use cases
Recommended solutions
Solution
Sub-metering and forecast-based dispatch of grid, captive generation, solar and battery storage to cut energy cost per unit.
View solutionSolution
Edge camera systems that detect surface, fabric, packaging and assembly defects and trace them to batch and line.
View solutionSolution
Condition monitoring and telematics analytics that predict failures and lower maintenance and fuel cost for plants and fleets.
View solutionSolution
Camera-based vehicle, load and label verification at gates and weighbridges, reconciled automatically with ERP and regulatory records.
View solutionRelevant services
Service
Industrial IoT, plant data integration, equipment monitoring, energy optimisation, machine vision and predictive maintenance.
View serviceService
Custom models, AI agents, computer vision, predictive analytics and private AI deployments, integrated with the systems you already run.
View serviceService
Enterprise applications, SaaS platforms, ERP and CRM extensions, APIs and cloud systems engineered for long-term operation.
View serviceFAQ
Step 1: Paid diagnosticTypically 1–3 weeks
Step 2: Paid pilotFixed scope, measures agreed in writing
Step 3: Rollout or managed serviceScoped after the pilot
We would suggest starting with one site or energy complex. It runs as a fixed-scope paid pilot, after a short paid diagnostic, with a baseline and success measures agreed in writing before it starts, so you decide on rollout with evidence in hand.
Typically 8–12 weeks, including closing metering gaps, after a paid diagnostic of 1–3 weeks. Length depends mainly on site access, production schedules and any meters or sensors that need to be installed. The pilot ends in a clear go or no-go decision against the measures agreed at the start.
We usually ask for 12 months of utility bills and tariff schedules; single-line diagram and the existing meter list; production volumes by line and shift; generator, solar and battery specifications, where present. During the paid diagnostic we review what you already have and say plainly where gaps need to be closed.
We would usually start from Energy Monitoring & Dispatch Optimisation, Machine Vision Quality Inspection, Predictive Maintenance & Fleet Intelligence or Gate, Weighbridge & Compliance Vision. Each has a defined scope, data requirements and pilot plan, set out on its own page.
Yes. TashIT is headquartered in Pakistan, our first market, and works with clients internationally, including in the GCC. Regulatory points on these pages are general information, not legal advice.
Related industries
Industry
Sugar, dairy, food processing and farming: procurement integrity, yield and cold chain.
Explore Food & AgribusinessIndustry
Power, gas, water and mining: losses, availability and asset performance.
Explore Energy & UtilitiesIndustry
Fuel retail, ports, fleets and couriers: stock integrity, planning and turnaround time.
Explore Logistics & FuelTell us which site, network or process you want to improve and the number you want to move. We will reply with a scoped first step, the data we would need and an honest view of the likely value.