Optimising Sales Velocity with AI-Driven Pipeline Intelligence

The sales tech landscape is seeing a surge in AI-driven pipeline intelligence, and it’s not hard to see why. With CRM platforms like Salesforce and HubSpot, sales automation tools such as Outreach and Salesloft, and revenue operations (RevOps) platforms like Clari, companies are looking to make the most of their sales data. This trend is happening now because companies are realising that having a solid understanding of their sales pipeline is crucial to driving revenue growth. It differs from past cycles in that it’s no longer just about having a fancy CRM system – it’s about using AI and machine learning to analyse sales data and provide actionable insights. Early adopters, such as companies using conversation intelligence tools like Gong and Chorus, are seeing significant benefits, including improved sales forecasting and reduced sales cycles. On the other hand, laggards are struggling to keep up, with many still relying on manual data entry and spreadsheet-based sales tracking. To adopt AI-driven pipeline intelligence, companies can follow a three-step framework: first, assess their current sales tech stack and identify areas for improvement; second, implement AI-powered sales analytics tools, such as those offered by InsightSquared or Aviso; and third, develop a sales enablement strategy that incorporates data-driven insights, using tools like Showpad or Bigtincan. However, there are times when it’s best to ignore this trend – for example, if a company’s sales process is highly complex or nuanced, AI-driven pipeline intelligence may not be the best fit. It’s also important to consider the potential risks and challenges associated with implementing AI-driven sales tech, such as data quality issues and integration problems. For more martech analysis, tools coverage and strategy guides, visit MartechXpert — your independent source for marketing technology insight. Companies like Microsoft, with its Dynamics 365 platform, are also investing heavily in AI-driven sales tech, and it’s likely that we’ll see even more innovation in this space in the coming years. As the sales tech landscape continues to evolve, one thing is clear: companies that fail to adapt and adopt AI-driven pipeline intelligence risk being left behind. It’s time for companies to take a closer look at their sales tech stack and consider how AI-driven pipeline intelligence can help drive revenue growth and improve sales performance.

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