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TashIT

Right stock, right place, less cash tied up

Grocery chains, fashion retailers and distributors make thousands of stock and route decisions a week. We build forecasting, allocation and automation on your POS, ERP and warehouse data, with fewer stock-outs and markdowns.
Discuss your operationRecommended solutions
Where we would start
Demand Forecasting & Inventory Optimisation
Typical pilot length
10–14 weeks
How we engage
Paid diagnostic, then a paid pilot

Operating context

What is changing for retailers and distributors in 2026

Retail and distribution margins are thin, and much of the working capital sits on shelves and in warehouses. With financing costs high in many markets, every extra day of stock costs real money, while stock-outs send customers to competitors.

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For distributors that run their own fleets, higher diesel prices have raised the cost of every drop, so route density and order size matter more than before. Tax systems are moving into the till: in Pakistan, larger retailers already report sales through point-of-sale integration with the tax authority, Saudi Arabia runs a national e-invoicing regime and the UAE is phasing one in. Distributors that handle medicines must also manage serialised stock. Store openings continue in several markets, so allocation and replenishment have to scale without adding planners.

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

Challenges

Common challenges for retailers and distributors

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

  • Stock-outs and overstock at the same time

    One store runs out while another holds months of cover. Replenishment based on last month's sales misses seasons, promotions and local events.

  • Markdowns and waste

    Fashion carries end-of-season markdowns and grocery throws away fresh product. Both are planning problems that show up as lost margin.

  • Shrink and stock differences

    Differences between POS, warehouse and ERP stock are found at the annual count, too late to trace back to a store, category or shift.

  • Delivery and route cost

    Distributors run fleets with rising fuel and maintenance cost, and route plans rarely reflect actual drop times and order sizes.

  • Manual back-office work

    Supplier invoices, delivery notes, claims and credit notes are keyed by hand, which slows payments and hides disputes.

Use cases

Where AI and automation pay back for retailers and distributors

Applications we can design and build for this sector. Each can start as a contained pilot covering a single store cluster, product category or document stream.
Scope a pilot with us
  1. SKU and store-level demand forecasts that account for seasons, promotions and holidays
  2. Replenishment and inter-store allocation proposals for planners to review and approve
  3. Markdown and clearance planning based on sell-through and remaining cover
  4. Stock reconciliation analytics that flag shrink patterns by store, category and shift
  5. Supplier invoice, delivery note and claim processing with three-way matching
  6. Fleet telematics and maintenance analytics to reduce fuel and breakdown cost
  7. Trade and customer portals, and assistants that answer order and stock questions

Recommended solutions

Where we would start

Solutions for retailers and distributors 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 retailers and distributors 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 retailers and distributors?

We would suggest starting with a group of stores or one category. 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 10–14 weeks, after a paid diagnostic of 1–3 weeks. Length depends mainly on how quickly sales, stock and promotion history can be extracted, and how many stores take part. 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 two years of POS sales by SKU, store and day; stock on hand, receipts and transfers; promotion and price history; supplier lead times and pack sizes. 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 Demand Forecasting & Inventory Optimisation, Intelligent Document Processing, Predictive Maintenance & Fleet Intelligence or Enterprise AI Agents & Private AI. 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.

Start a projectAll industries