Pricing is the unlock to AI sales transformation

Pricing- unlock to AI sales transformation

Recent analyses from McKinsey and Bain both underscore a striking reality: despite AI’s rapid advances across industries, sales remains the last frontier to undergo meaningful transformation. Entrenched processes, messy data, and cultural inertia have slowed adoption, leaving a wide gap between potential and realized impact. To close this gap, organizations need an entry point that is both compelling enough to spark action and foundational enough to sustain long-term change. That entry point is pricing.

Pricing as the Tip of the Spear:

Nothing influences sales behavior and customer decision-making more directly than price. AI-powered pricing strategies—customer segmentation, dynamic optimization, and precision discounting—deliver immediate, visible value by improving win rates, protecting margins, and accelerating revenue growth. Pricing initiatives provide sales leaders with a tangible “quick win,” proving that AI can be trusted to enhance decision-making without replacing the human relationship at the heart of selling. By focusing on pricing, companies can build confidence in AI tools while directly aligning with the commercial outcomes that sales teams care about most.

Pricing as the Bedrock:

At the same time, pricing transformation creates the foundation upon which broader AI-driven sales innovation can scale. Effective pricing requires clean, structured, and trusted data; disciplined processes; and cross-functional alignment between sales, marketing, finance, and product. By solving these fundamental challenges, organizations not only unlock AI’s full pricing potential but also build the organizational muscles—data quality, governance, adoption—that are prerequisites for applying AI across the wider sales ecosystem. In this sense, pricing is not just a high-impact use case; it is the scaffolding upon which the entire AI sales transformation rests.

The Path Forward:

Executives who want to seize the sales-AI frontier should start with pricing, because it offers the rare combination of rapid, demonstrable ROI and structural transformation. Done right, pricing becomes both the wedge that gets sales teams to embrace AI and the cornerstone that ensures every subsequent use case—from lead scoring to customer engagement—has the reliable foundation it needs to succeed.

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Published October 21, 2025

Jared Wiesel is a Senior Vice President at Revenue Analytics. In this role, he serves as the practice area lead for Manufacturing and Distribution. Jared has led and executed project work across four continents with experience in multiple industries including retail, consumer goods, automotive, manufacturing, amusement and entertainment, freight, and specialty services. Jared also designs practical and actionable client solutions that drive organic revenue growth. In addition, Jared is responsible for driving revenue targets for the retail and consumer goods practice areas by implementing business development strategies and delivering engagements that are efficient, profitable and sustainable for project team members. Mr. Wiesel has a decade of experience partnering with Fortune 500 companies to help solve their most complex Pricing and Revenue Management challenges. His primary areas of focus include pricing strategy, price optimization, rules-based pricing, process design, and change management.

Prior to joining Revenue Analytics, Jared was a leader in Deloitte Consulting, Pricing and Profitability Management practice where he designed and managed complex Pricing and Revenue Management engagements.

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