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Preis stimmt. Jedes Produkt. Jeder Markt. Täglich.

KI, die Marktsignale, Wettbewerbspreise und Nachfragemuster überwacht, um Preisentscheidungen zu empfehlen, die die Marge schützen, ohne Volumen zu verlieren.

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The problem

Pricing decisions made on data that is already out of date

  • Pricing decisions made on stale data

    Price lists are updated quarterly. Markets move daily. The gap between your prices and the right prices costs margin constantly.

  • No visibility on competitor pricing at scale

    Manual competitor price tracking covers a fraction of the catalogue. Most pricing blind spots are never discovered.

  • Promotions that erode margin without clarity

    Discounts are applied broadly without understanding elasticity. The result is margin erosion with uncertain volume gains.

  • Elasticity nobody models

    Price changes go live without scenario testing. Margin and volume surprises follow because impact is guessed, not simulated.

So funktioniert es

Price with evidence—not spreadsheets nobody trusts

Schritt 1

Aggregate market and cost

Competitors, elasticity signals, and margin floors are combined in a governed pricing workspace.

Schritt 2

Simulate scenarios

What-if on segments, channels, and bundles shows revenue, volume, and risk before you publish.

Schritt 3

Publish and audit

Approved price lists sync to CPQ and e-commerce; every change carries rationale for finance.

Promotions and regional regulation constraints are enforced as hard rules.

Preis stimmt. Jedes Produkt. Jeder Markt. Täglich.

Leistungsumfang

What you get when you run this with Thinkia

A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.

Competitor price monitoring

Tracks competitor pricing across products, channels and markets in real time.

Demand elasticity modelling

Estimates how price changes affect volume for each product and customer segment.

Dynamic pricing recommendations

Suggests optimal prices based on demand signals, inventory levels and competitive position.

Promotion impact analysis

Models the margin and volume impact of promotional scenarios before execution.

Market pricing alerts

Notifies when competitor prices cross defined thresholds requiring a response.

Pricing decision audit trail

Logs every price change, its trigger and its outcome for performance review.

Unterstützt von Thinkia Synapse

Ergebnisse

What changes when this runs in production

Results vary by catalogue size, market competitiveness and data availability.

+3–5%

Typical uplift from data-driven pricing vs. periodic manual updates

10×

More SKUs monitored vs. manual tracking

+20%

Improvement in margin return on promotional spend with elasticity modelling

So arbeiten wir

From spreadsheet wars to governed recommendations sales can explain

Economics map

Week 1–2

Segments, elasticity hypotheses, and guardrails (floor, parity, regulation) are documented.

Data & features

Week 3–5

Comp sets, win/loss, and cost inputs are cleaned; simulation scenarios are agreed with finance.

Deal desk pilot

Week 6–9

Rep guidance and approvals run in parallel; margin and win-rate are tracked vs control.

Enterprise pricing

Week 10+

CPQ or ERP hooks, rebate logic, and audit trails roll out by region or product line.

Channel conflict and deal complexity drive rules; waves follow product families with clean data.

Loslegen

Ready to scope this for your context?

We start with a focused session—no commitment—to map constraints and a sensible path.

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