Sales Managers

Many data-oriented tasks of sales managers are already being aided by AI tools. For example, computer programs (often called “analytics” or “machine learning”) can quickly scan sales reports and customer data to forecast sales or spot trends. One study notes that a company using machine learning for forecasting saw sales rise 6% thanks to more accurate predictions ^[1].

AI systems also sort customers into groups by buying habits or preferences. In fact, research shows AI can analyze past shopping behavior to predict what customers want next ^[2]. Even customer-service tasks are partly automated: for instance, banks are starting to use AI to sift through millions of customer complaints and detect problems faster ^[3].

Whether companies rush to use AI depends on many factors. Tools readiness: Many ready-made AI features exist in modern sales software, so businesses could adopt them fairly easily. For example, popular CRM systems already offer AI-powered forecasts and suggestions ^[4]. Costs and Benefits: Installing AI tools costs money and requires clean data and training. But big gains (like that 6% sales jump) can make AI worth it ^[1].

Where sales competition is fierce, firms may invest quickly. On the other hand, if a company already has enough skilled sales managers or finds AI expensive, adoption may slow.