AI-Powered PRICING Delivered

Business Case: Traditional Pricing vs AI-Driven Dynamic Pricing

Industrial Gases • EBITDA impact in % and € (board-ready)

Power Executive Summary

  • AI Dynamic Pricing raises realized price, reduces leakage, and improves mix with controlled volume effect.
  • Total EBITDA Impact: +€10.86m (+12.1%) vs baseline; +€13.21m (+15.1%) vs traditional.
  • Program costs included in AI scenario (Opex +€2.0m) → still net accretive.
Baseline
Revenue €600m
EBITDA €90m (15%)
Traditional Pricing
Price +0.5% • Leakage 2.0% • Mix 0.0% • Volume +0.2%
COGS 70% • Opex €90m
AI Dynamic Pricing
Price +2.2% • Leakage -1.2% • Mix +0.6% • Volume -0.3%
COGS 69% • Opex €92m (incl. program)

Traditional Pricing

Realized effects: modest price ↑, leakage persists
Revenue
592.18m
COGS
414.53m
Opex
90.00m
EBITDA
87.65m (14.8%)

AI Dynamic Pricing

Higher realized price, lower leakage, better mix
Revenue
622.13m
COGS
429.27m
Opex
92.00m
EBITDA
100.86m (16.2%)
Total EBITDA Impact
AI vs Traditional: € 13.21m (+15.1%)
AI vs Baseline: € 10.86m (+12.1%)
Program Cost (incl. in AI Opex)
€ 2.0m → ROI ≈ 6.6× vs Traditional

Driver Breakdown (Realized Pricing)

Driver Traditional AI Dynamic Pricing Comment
Price Uplift +0.5% +2.2% Elasticity guardrails by segment
Discount/Leakage -2.0% -1.2% (reduction) Approval workflow & guardrails
Mix Effect 0.0% +0.6% Prefer higher-margin SKUs/routes
Volume Change +0.2% -0.3% Slight tactical giveback to protect key accounts

Power Decision Request

  1. Approve AI Dynamic Pricing rollout (100-day playbook, 12–18 month scale-up).
  2. Launch 3 pilots: bulk gases (tiered segments), cylinder gases (contract guardrails), onsite (indexation).
  3. Set ROCE governance: monthly value tracking, risk & compliance checks, board updates.
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Josef David

Thriving Leadership / Owner RapidKnowHow.com /

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