Salesloft · 2025
9 mises à jour · 2025
En 2025, Salesloft a publié 9 mises à jour suivies. Soit environ 3 par mois sur 3 mois actifs. Le mois le plus actif a été août 2025 (7). Le thème dominant : product launches (1). À retenir : « The New Era of Revenue Growth: Meet the Predictive Revenue System » (3 déc. 2025).
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décembre 2025
Salesloft launched the Predictive Revenue System, a new AI-driven framework replacing traditional CRM to predict revenue outcomes, prescribe actions, and orchestrate growth. The system integrates adva…
août 2025
Salesloft introduced four AI agents—AI Forecast, Stalled Deals Insight, Signal Conversion Insight, and Analytics Interpreter—to transform sales data into actionable insights. These tools predict outco…
Salesloft introduced six AI agents designed to automate administrative tasks and provide real-time context for sellers, including prioritization, account research, and buyer identification. These agen…
Salesloft introduced four AI agents—AI Scorecard for Conversations, Objection Handling Insight, Seller Coaching, and Manager Coaching—to automate call reviews, identify coaching gaps, and provide pers…
Salesloft introduced a new feature allowing revenue teams to create custom AI agents that integrate first- and third-party buyer signals across the sales cycle. These agents can act on signals from di…
Salesloft introduced a suite of AI agents designed to automate routine sales tasks, including prioritizing next steps, summarizing calls, extracting key moments, and generating deal summaries. These t…
Salesloft Deals now leverages AI to surface deal risks like MEDDPICC gaps and budget ownership in seconds, replacing manual pipeline reviews. The tool provides a unified pipeline view with color-coded…

Salesloft introduced AI agents to automate and optimize sales content creation, including email drafting, LinkedIn messaging, and call scripts. These agents use buyer signals and historical data to ge…
janvier 2025
Salesloft released a guide outlining how organizations can build modern revenue tech stacks to unlock AI’s potential. It emphasizes unifying tools, aligning teams, and leveraging signals, AI, revenue …
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