AI (artificial intelligence) is among the factors transforming how sales teams perform and operate. And adding AI to your current sales CRM and analytics platforms can automate tasks, personalize interactions, improve results, and unlock new insights. Today, we will explore how to leverage AI in your sales processes and what benefits you can expect from AI-driven sales analytics.
Why Is AI Important For Sales?
AI technology involves machines learning from data, performing tasks, and making decisions without human intervention. That way, sales teams can leverage it to improve efficiency, effectiveness, and engagement by automating repetitive tasks, generating leads, scoring prospects, forecasting sales, recommending actions, unlocking insights, and more. AI can also improve the customer experience by sending them offers, solutions, and personalized messages based on their behavior, preferences, and needs.
How to Integrate AI With Your Sales Analytics and Sales CRM
Sales Analytics
The sales analytics platform sources trends, insights, and sales performance. So it is also a factor that can be integrated with AI to optimize your tactics, outcomes, and sales strategy. You can use data pipelines, connectors, or platforms to process, collect, and analyze your sales data using AI algorithms to add AI to your current sales analytics platform.
For instance, you can use a connector to connect an AI service with your sales analytics platform, providing you with actionable recommendations, alerts, and insights.
Sales CRM
CRM is among the ideal places to integrate AI to augment your sales capabilities. It can be done using plugins, APIs, or third-party solutions that connect your CRM with AI and ML platforms or services. For instance, an API can access an AI-powered chatbot to qualify leads, book appointments, and handle customer inquiries. You can use a plugin to rank your prospects based on their readiness, fit, and interest to integrate an AI-based lead scoring tool.
What Pros Can You Expect From Ai-Driven Sales Analytics
AI-driven sales analytics can bring multiple benefits, boosting your sales performance and customer satisfaction.
AI can save you time and resources by automating tasks like follow-ups, data entry, reporting, and scheduling. In addition, it can help reduce biases and errors by relying on data-driven insights, decisions, and predictions. Moreover, you can tailor your messages, offers, and solutions to each customer based on their profile, behavior, and needs. Based-on-data insights, decisions, and predictions can also reduce bias and mistakes.
Conclusion
Regarding AI-driven sales analytics, you should start by defining your goals, assessing your readiness, choosing the right solutions, and testing and implementing them. Also, identify the problems that should be solved, the outcomes you should achieve, and the metrics that should be measured with AI. For BigCommerce stores, OrderBooster offers smartly implemented cross-sales and upsells recommendations using analytics, check it out!
