Guide: The Speed Gap Diagnostic for Supply Chain Leaders

Your team knows how many scenarios it ran last cycle. Does it know how many it should have?

Every planning cycle generates decisions nobody stress-tested — not because the team was careless, but because building another model took longer than the deadline allowed. That gap is invisible until someone counts it.

Maria Villablanca, CEO of TFEST, has spent 18 months talking to supply chain leaders about exactly this problem. Working with Gavin Schwarzenbach — an Optilogic industry expert with 34 years running global supply chains at Nestlé — she calls it the "Speed Gap": the distance between the decision quality your organisation delivers today and what's now achievable. This diagnostic gives you four questions to measure yours.

What's inside:

  • Four diagnostic questions to run against your own last planning cycle
  • Why one validated scenario, built under time pressure, means you've moved faster toward the wrong answer
  • A live customer example: 70 scenarios, 800 products, 30 countries — analysed by AI in minutes, not weeks
  • The shift from 3 months to set up scenarios to 1 day
  • Three concrete places to start, without trying to transform everything at once

Your team knows how many scenarios it ran last cycle. Does it know how many it should have?

Every planning cycle generates decisions nobody stress-tested — not because the team was careless, but because building another model took longer than the deadline allowed. That gap is invisible until someone counts it.

Maria Villablanca, CEO of TFEST, has spent 18 months talking to supply chain leaders about exactly this problem. Working with Gavin Schwarzenbach — an Optilogic industry expert with 34 years running global supply chains at Nestlé — she calls it the "Speed Gap": the distance between the decision quality your organisation delivers today and what's now achievable. This diagnostic gives you four questions to measure yours.

What's inside:

  • Four diagnostic questions to run against your own last planning cycle
  • Why one validated scenario, built under time pressure, means you've moved faster toward the wrong answer
  • A live customer example: 70 scenarios, 800 products, 30 countries — analysed by AI in minutes, not weeks
  • The shift from 3 months to set up scenarios to 1 day
  • Three concrete places to start, without trying to transform everything at once

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