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TashIT

Account for every litre, load and hour of turnaround

Fuel retailers, depots, ports, fleets and couriers manage moving stock and moving assets across many sites. We connect tank, telematics, gate and document data so you can see losses, cut idle time and plan capacity.
Discuss your operationRecommended solutions
Where we would start
Predictive Maintenance & Fleet Intelligence
Typical pilot length
8–12 weeks
How we engage
Paid diagnostic, then a paid pilot

Operating context

What is changing for fuel, fleet and logistics operators in 2026

Higher and less predictable fuel prices raise the cost of every kilometre a fleet drives, and they also raise the value of every litre lost to evaporation, measurement error or theft between depot, tanker and dispenser. Ports and terminals are digitising gate and yard processes, and shippers expect accurate arrival times.

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Many operators also move regulated goods: in Pakistan, cement, fertiliser and sugar move under tax track-and-trace rules, and medicines move as serialised stock. Electronic documents for customs, invoicing and proof of delivery are replacing paper in many markets. Margins in distribution and transport are thin, so savings in fuel, maintenance and turnaround go straight to profit.

Regulatory points are general information, not legal advice. Rules change, so check the current position with your advisers.

Challenges

Common challenges for fuel, fleet and logistics operators

These are the problems that cost the most and that data, software and automation can measurably reduce.

  • Stock loss in fuel networks

    Differences between delivered, dispensed and dipped volumes are hard to explain across hundreds of stations and depots.

  • Fleet fuel and maintenance cost

    Idling, route deviation, harsh driving and missed services raise fuel use and cause breakdowns at the worst possible time.

  • Gate and yard turnaround

    Trucks queue at gates and weighbridges while staff check documents and seals by hand, and yard positions are tracked on paper.

  • Planning with poor visibility

    Depot replenishment and vehicle allocation rely on yesterday's numbers, causing dry-outs at some sites and excess stock at others.

  • Paper documents

    Delivery notes, bills of lading, customs papers and proofs of delivery are scanned or keyed late, which delays invoicing and dispute resolution.

Use cases

Where AI and automation pay back for fuel, fleet and logistics operators

Applications we can design and build for this sector. Each can start as a contained pilot covering a single depot, fleet segment or group of stations.
Scope a pilot with us
  1. Wet-stock reconciliation across stations and depots, with loss alerts by site and product
  2. Telematics and engine data analytics for fuel efficiency, driver behaviour and maintenance planning
  3. Camera-based gate and weighbridge automation with plate, container and seal recognition
  4. Depot and station replenishment forecasts that reduce dry-outs and excess stock
  5. Document extraction for delivery notes, bills of lading and proofs of delivery
  6. Turnaround dashboards for gates, docks and yards

Recommended solutions

Where we would start

Solutions for fuel, fleet and logistics operators with a defined scope, data requirements and pilot plan. Each page explains how it works and how success is measured.

Relevant services

Capabilities behind the work

The disciplines we combine for this sector, from data integration and AI to the software your teams use every day.

FAQ

Questions about a first project

Answers for fuel, fleet and logistics operators weighing up a first pilot.

How we engage

  1. Step 1: Paid diagnosticTypically 1–3 weeks

  2. Step 2: Paid pilotFixed scope, measures agreed in writing

  3. Step 3: Rollout or managed serviceScoped after the pilot

How our engagement models work
What is a good first AI or automation project for fuel, fleet and logistics operators?

We would suggest starting with one fleet segment or a group of stations. 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.

How long does a pilot take?

Typically 8–12 weeks, after a paid diagnostic of 1–3 weeks. Length depends mainly on access to telematics or tank gauge data, any devices that need to be fitted and the number of sites. The pilot ends in a clear go or no-go decision against the measures agreed at the start.

What data do you need to get started?

We usually ask for telematics or fuel-card data for the pilot fleet, or tank gauge and dispenser records; delivery and dispatch records for the same period; maintenance history and work orders; site and vehicle master data. During the paid diagnostic we review what you already have and say plainly where gaps need to be closed.

Which solutions would you start with?

We would usually start from Predictive Maintenance & Fleet Intelligence, Gate, Weighbridge & Compliance Vision, Demand Forecasting & Inventory Optimisation or Intelligent Document Processing. Each has a defined scope, data requirements and pilot plan, set out on its own page.

Do you work outside Pakistan?

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

Sectors with similar problems

These industries share several of the same solutions, so the same building blocks and methods carry across.

Start with one measurable pilot

Tell 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.

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