The thinking behind ScaleSight

Better questions. Clearer commitments.

I started ScaleSight to make deeper planning analysis useful before a brand commits more cash.

I’m Arman, a data scientist. In consumer brands, a forecast is only one input to a much larger decision: what to buy or produce, how much, when, and what the choice means for cash and availability.

ScaleSight brings data-science analysis and supply-chain review together around the commitments a brand has to make. We work from agreed sales, inventory, incoming supply and lead-time data, investigate changing demand, and compare the options. We maintain the analysis and bring the team a clear recommendation; the team keeps the final call.

Larger brands often hire planners, analysts and data-science specialists around their systems. ScaleSight gives growing brands access to analytical support without building every capability internally. For lean teams, that adds planning capability. For established teams, it adds bandwidth around a defined investigation.

  • Start with the decision.
  • Make the assumptions visible.
  • Check supply and cash consequences.
  • Keep ownership with the client.

Arman Mehdi

Founder, ScaleSight | Data scientist

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