Price optimization dominates AI's contributions to improving sales this year based on conversations with CROs and CEOs.Predictive opportunity scoring, predictive lead scoring, predictive analytics for forecast management and guided selling are the top four AI-based technologies B2B selling organizations plan to deploy in the next 12 months, according to Gartner.By 2025, 60% of B2B sales organizations will transition from experience- and intuition-based selling to data-driven selling, merging their sales process, sales applications, sales data and sales, according to Gartner.Revenue increases from adopting AI are reported most often in marketing and sales and cost decreases most often in manufacturing, according to McKinsey's recent Global Artificial Intelligence Survey.Sales organizations are under increased pressure to reduce selling costs while stabilizing margins and closing only the most profitable deals.
AI-based price and revenue management applications and platforms are proving indispensable in keeping sales, marketing, operations, services, accounting and senior management synchronized with real-time updates to achieve more.
McKinsey's Global AI Survey: AI proves its worth, but few scale impact survey provides insights into where AI is making its greatest contributions and reducing expenses.
The majority of executives whose companies have adopted AI report that it has provided an uptick in revenue in the business areas where it is used and 44% percent say AI has reduced costs.
Leaders in this area include Vendavo, who has decades of experience providing price optimization solutions for the chemical, distribution, high tech, manufacturing and aftermarket industries.
Every CMO and their CRO counterpart are having discussions about how the rate of opportunities transitioning from Marketing Qualified Lead (MQL) to Sales Qualified Lead (SQL) can be improved.