Predictive Analytics im Vertrieb: Mit KI zukünftige Kundenbedürfnisse erkennen
Vertriebserfolg basiert heute auf Vorhersage. Predictive Analytics nutzt KI, um aus vergangenen Kundendaten zukunftsgerichtete Entscheidungen abzuleiten. So lassen sich Kunden gezielt und bedarfsgerecht ansprechen. Unternehmen, die diese Technologien erfolgreich einsetzen, verschaffen sich entscheidende Wettbewerbsvorteile. 1. Was ist Predictive Analytics? Predictive Analytics umfasst statistische Techniken, Machine Learning und Data Mining, um Vorhersagen über zukünftige Ereignisse zu treffen. Im Vertrieb bedeutet das: Erkenntnisse darüber gewinnen, welche Leads konvertieren, welche Bestandskunden abspringen könnten und welche Cross- oder Upselling-Potenziale bestehen. 2. Daten als Grundlage für Vorhersagen Die Basis für jede erfolgreiche Vorhersage sind Daten. CRM-Systeme, Website-Verhalten, Social Media Interaktionen und historische Verkaufszahlen liefern wertvolle Informationen. Mit Hilfe von KI können diese Daten automatisiert analysiert und Muster erkannt werden, die manuell...
Wie KI den B2B-Vertrieb revolutioniert: Chancen und Herausforderungen
Künstliche Intelligenz (KI) hat den B2B-Vertrieb grundlegend verändert. Was früher durch manuelle Prozesse, Intuition und Erfahrung gesteuert wurde, läuft heute zunehmend datengetrieben und automatisiert. Für Unternehmen bedeutet das: höhere Effizienz, bessere Kundenansprache und mehr Umsatzpotenzial. Doch was bedeutet das konkret für den modernen Vertrieb? Und welche Chancen und Herausforderungen gehen damit einher? 1. Automatisierung von Vertriebsprozessen KI-basierte Tools automatisieren repetitive Aufgaben wie Lead-Scoring, Terminvereinbarung oder E-Mail-Kommunikation. Dadurch gewinnen Vertriebsteams wertvolle Zeit für echte Kundenkontakte. Laut einer Studie von McKinsey können Unternehmen mit KI-Automatisierung bis zu 40 % an Vertriebszeit einsparen. Beispiele sind Tools wie Salesforce Einstein oder HubSpot Predictive Lead Scoring. 2. Personalisierung in Echtzeit Moderne KI-Systeme analysieren Kundenverhalten – etwa Klicks auf der Website, geöffnete E-Mails oder getätigte Käufe...
The Sales Accelerator (May 29, 2025)
Hello Innovators, Disruptors, and Future-Makers,
This week’s edition zeroes in on AI’s seismic shift in sales strategy, from autonomous deal-closing agents to predictive market analytics. Key themes include the rise of AI-driven workflow automation, hyper-personalized customer journeys, and the critical balance between human intuition and machine efficiency. Below, we unpack how these developments will sharpen competitive edges, redefine sales roles, and unlock unprecedented scalability.
May 23 Edition
Seven days that reshaped automated sales: ServiceNow’s enterprise-ready CRM agents, Google’s seismic shift to AI-native search experiences, and Microsoft’s deep ecosystem integrations demonstrate how AI is moving from assistant to orchestrator. For revenue teams, the message is clear – success now hinges on three pillars: hyper-personalization at scale, real-time workflow automation, and seamless human-agent collaboration. The tools emerging this week don’t just optimize existing processes – they redefine what’s possible in pipeline management and buyer engagement.
May 16 Edition
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Hello Innovators,
This week’s edition highlights AI’s accelerating role in sales, from autonomous agents handling complex workflows to predictive tools unlocking hyper-personalization. With AI now automating up to 80% of administrative tasks, sales teams are pivoting to strategic relationship-building while market forecasts project explosive growth for agentic AI. Here’s your roadmap to the future:
🔑 Key Takeaway: AI isn’t just automating tasks—it’s becoming a strategic co-pilot. Sales leaders who integrate agentic workflows while maintaining human oversight will dominate 2025’s revenue battles.
The Sales Accelerator: AI Edition (May 8, 2025)
Hello Innovators, Disruptors, and Future-Makers,
This week’s insights reveal how AI is dismantling traditional sales silos and rewriting playbooks. From autonomous deal-closing agents to immersive AR-powered demos, the boundary between human intuition and machine precision continues to blur. Savvy leaders are leveraging these shifts to eliminate friction in customer journeys and unlock untapped revenue streams. Let’s dive in.
Tech Visionary Tim Cortinovis – Forbes
Tech visionary Tim Cortinovis,....Thank you so much for interviewing me for this fantastic article on the future (or present?) of entrepreneurship, Michael Ashley!!! If you think about it, it is fascinating how easy it has become to start a business. This is a good exit for all the talented people full of innovative ideas stuck in their positions. The tools are there, all at our disposal. It does not take millions, nor advanced IT studies to start your very own business today. More on Forbes: The Future Is Solo: AI Is Creating Billion-Dollar One-Person Companies More on YouTube: How AI is Empowering Solopreneurs to Build Billion-Dollar Businesses | Tim Cortinovis Interview
New Podcast Episode: Pioneering the AI Agent Revolution
AI agents will bring the same changes to white-collar workplaces as robots did 30 years ago on the shop floor.
I had a fascinating and inspiring talk with the renowned AI expert Karl Lillrud 🔵 about ‘Pioneering The AI Agent Revolution’, I had the pleasure to be a guest at his podcast The Authority Show.
New Book Homo Automaticus Out Now
My new book “Homo Automaticus. Embracing Our AI-Driven Evolution” is out now!
It was a tremendous launch on Monday.
In case you missed it, here is the replay…
The Latest News
On LinkedIn there is a wilde debate about new figures concerning the labor market and massive lay off due to generative AI this year.
Maybe you have read this bold headline:
25% of CEOs intend to lay off 5% or more of their employees in 2024 due to generative AI.
The release of these statistics by the World Economic Forum (hashtag#WEF) in Davos is attributed to a survey conducted by PwC consultants, which involved close to 4,000 executives at the C-suite level from leading corporations. A significant point to note is that “… around 25% of chief executives foresee a decrease in their workforce by a minimum of 5% in 2024, as a consequence of advancements in generative AI.”