With global trade shocks, rising costs, and increasingly cautious buyers, B2B sales teams are under enormous pressure to perform. Enter sales AI—a suite of intelligent technologies helping organizations do more than survive: they’re helping them grow.

In this episode inspired by the artcile: How sales AI helps organizations get ahead despite shifting markets, we explore:

• How AI-powered tools are providing visibility across the sales pipeline
• Why agility is the new baseline for modern sales organizations
• Seven real-world use cases for generative AI in B2B sales
• Five key lessons for deploying AI strategically and ensuring seller adoption

Whether you're running a commercial team, overseeing tech investments, or just trying to hit your quota—this is your playbook for thriving in unpredictable markets.

⚙️ The Role of Sales AI in Turbulent Markets

• Why agility, visibility, and trust are the new pillars of sales success
• How AI connects ERP, CRM, and supply chain data to improve customer experience
• The shift from reactive selling to proactive pipeline management

🤖 7 Use Cases for Generative AI in B2B Sales

1. Next Best Opportunity: Smarter lead scoring and opportunity discovery
2. Next Best Action: Personalized outreach based on predictive insights
3. Meeting Support: AI-prepared talking points and objection handling
4. RFP Response Generation: Faster, more competitive proposals
5. Smart Pricing: Tailored discounting and value justification
6. Research Assistants: Real-time access to institutional knowledge
7. AI Coaching: Performance analytics and targeted seller enablement

💡 5 Strategic Lessons for Implementation

1. Start with business problems, not technology
2. Prioritize seller-centric design and trust
3. Combine buy vs. build strategies
4. Align AI with broader sales transformation goals
5. Focus on adoption, not just deployment

• Sales AI is no longer optional—it’s a must-have for visibility, agility, and growth
• Gen AI augments—not replaces—sellers, helping them personalize, prioritize, and persuade
• Adoption hinges on trust and usefulness—tools must solve real problems, not create new ones
• The future is agentic AI—AI that doesn't just suggest, but acts autonomously

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