Understanding pricing at the age of AI
Discover our business and tech content to understand the challenges of modern pricing: retail, pricing strategy, price elasticity, dynamic pricing, data, agentic and conversational AI, predictive machine learning, and more.
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Key takeaway: Building a high-performing pricing team requires adopting a hybrid model that combines central strategy with local agility. This transition replaces intuition with data-driven decisions, orchestrated by expert roles and strict governance. This proactive management directly transforms financial performance, enabling companies to target profitability increases of between 100 and 500 basis points.
Key takeaway: Faced with radical price transparency in 2026, retailers are adopting automated pricing management. This strategy protects margins against inflation by ensuring immediate responsiveness across all channels. A powerful tool guarantees a return on investment in less than six months, making pricing a pillar of net profitability.
Key takeaway: Product matching is the foundation of competitive monitoring because it prevents the comparison of non-equivalent products. Reliable matching secures margins by basing repricing on real, multi-signal data. Noteworthy fact: According to the Diamart study, 50% of French retailers still consider this challenge unresolved.
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