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Des prix qui apprennent des achats d'hier

Modèles de pricing dynamique avec garde-fous marque et marge—expériences gouvernées, mises à jour temps réel et métriques défendables par la finance.

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The problem

Prices set quarterly never match a market that moves daily

  • Prices are still set quarterly

    By the time a pricing committee approves new lists, demand, FX, and competitor moves have shifted—margins erode quietly between cycles.

  • No elasticity model worth trusting

    Pricing decisions lean on intuition or static rules. Without elasticity by SKU, channel, and segment, every move is a guess dressed up as analysis.

  • Competitor moves caught a week late

    Manual scraping and analyst reports surface competitor changes after the impact has already landed on weekly numbers.

  • Brand and margin guardrails missing

    Without explicit floors, ceilings, and brand rules, dynamic pricing risks reputational damage or margin leaks the moment it goes automated.

Fonctionnement

A pricing layer that experiments inside guardrails you set

Étape 1

Model & segment

Elasticity by SKU, channel, and customer segment built from transactional history, normalized into a governed feature store.

Étape 2

Experiment & decide

Governed A/B and bandit experiments propose price moves; guardrails and approval gates ensure brand and margin policy hold.

Étape 3

Publish & learn

Approved prices push to commerce, ERP, and channel systems with audit trail—results feed back into the next cycle of learning.

Flow adapts to your channels, ERP, and pricing committee cadence.

Des prix qui apprennent des achats d'hier

Ce qui est inclus

Price dynamically withoutbrand or margin risk

Elasticity, experiments, and governance in a single layer—delivered on Synapse with guardrails and audit lineage from day one.

Elasticity modeling

Price-response curves by SKU, channel, and segment—refreshed on the cadence your business moves at.

Guardrail policies

Floors, ceilings, brand rules, and margin thresholds enforced before any price goes live.

Experiment framework

Governed A/B and bandit experiments with statistical rigor—proposing moves your pricing committee can approve.

Competitor scraping

Continuous competitor price monitoring across channels, with anomaly flags and impact scoring.

Channel-aware rollout

Different rules for e-commerce, marketplace, retail, and direct—no one-price-fits-all blind spots.

Exception override

Commercial and finance teams can lock prices, attach commentary, and trace every override with a named reviewer.

Propulsé par Synapse

Résultats

What changes when this runs in production

Results vary by context, data maturity, and scope. We scope honestly before we promise precisely.

+2–5%

margin lift on optimized categories vs. static pricing

Orientative—varies by category elasticity and channel mix.

Days

instead of quarters to react to competitor or demand shifts

Orientative—based on early implementations.

Full

audit trail and approval lineage on every published price

Notre façon de travailler

From first call to production—without the usual drag

Assess

Week 1–2

Map pricing cycle, data sources, guardrail policies, and the categories with the highest signal-to-noise.

Design

Week 3–5

Define elasticity scope, experiment framework, approval gates, and brand/margin policy translated into rules.

Build

Week 6–10

Integrate commerce/ERP signals, train and validate elasticity models against historical experiments, ship the approval UX.

Govern & scale

Week 11+

Audit sign-off, commercial-owned operations, expand categories and channels by quarter.

Timelines vary by channel complexity, data quality, and committee cadence.

Commencer

Ready to price at the cadence your market actually moves at?

No commitment. We start with a scoped session to map your categories, channels, and guardrail policies.

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