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E-commerce & retail

Demand forecasting & inventory

Forecast demand accurately and stop losing money to stockouts and overstock.

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When you need this

  • You lose sales to stockouts on popular items while cash is tied up in overstock elsewhere.
  • Forecasting is done in spreadsheets and doesn't capture seasonality or promotions well.
  • You manage a large or fast-moving catalogue and manual planning can't keep up.
  • You want replenishment suggestions, not just charts.

What you get

We build demand-forecasting models that predict what you'll sell and when, then turn those forecasts into concrete replenishment and inventory decisions integrated with your systems.

  • Demand forecasts at the SKU and location level that account for seasonality, trends, and promotions.
  • Replenishment and reorder recommendations, not just predictions.
  • Integration with your CRM and ERP so forecasts flow into your existing workflow.
  • Dashboards to monitor accuracy and adjust assumptions.

How we do it

1
Discovery

We review your sales history, catalogue, and current planning process and agree on targets.

2
Data preparation

We consolidate and clean sales, inventory, and promotion data into a reliable base.

3
Model the demand

We build and validate forecasting models tuned to your products and seasonality.

4
Turn forecasts into decisions

We translate forecasts into reorder points and replenishment suggestions.

5
Integrate

We connect the output to your ERP, CRM, and dashboards.

6
Monitor & improve

We track forecast accuracy and retrain as your data grows.

Business outcomes

  • Fewer stockouts on the items that matter, and less cash trapped in overstock.
  • Planning that scales across a large catalogue without more headcount.
  • Decisions, not just dashboards — clear reorder guidance your team can act on.

Why Intellectual Systems

  • Solutions that integrate with your existing tools and workflows.
  • Multilingual delivery, including Modern Standard Arabic and regional dialects.
  • GDPR-aligned by default, adaptable to your specific compliance needs.
  • Long-term support and iteration after launch.
Related case study AI Forecasting for spare-parts demand We built AI demand forecasting for spare-parts inventory — see how it worked. Read the case →

FAQ


How much history do we need?
Typically a couple of years of sales history works well, but we'll assess what's available and set expectations up front.

Does it handle promotions and seasonality?
Yes — these are built into the models, which is where spreadsheets usually fall short.

Will it connect to our systems?
Yes — we integrate with your CRM, ERP, and inventory systems so forecasts fit your existing workflow.

Do we get reorder suggestions or just forecasts?
Both — we turn forecasts into concrete replenishment and reorder recommendations.

Related solutions

Interested? Let's build this for your business
Tell us what you're looking to achieve and we'll suggest the most effective solution tailored to your timeline and budget.



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