Artificial intelligence use cases/application areas in B2B sales

Artificial intelligence use cases/application areas in B2B sales

B2B sales is hard. Conversion rates are low and sales cycle is longer. Your customers don’t just take out their credit cards to buy things. They need hand-holding and a lot of validation. You need to make calls, meet them in person, answer their concerns and continue to guide them after sales to ensure that you build a healthy relationship with them. Artificial intelligence can make this a bit easier.

As a sales leader, you may be hearing that artificial intelligence will rule the world. You hear giants like Dell and Cisco using AI in sales. You imagine a future where all B2B sales is done by cheap yet effective AI asisstants. We are not there yet essentially because AI is not as mature enough to handle complex conversations and relationship building required in sales. AI today does not aim to replace sales reps but acts as an assistant to

  • Help them automate dumb jobs like data entry and meeting scheduling or complicated jobs that do not require personal relationships like sales forecasting
  • Enable them to prioritize more effectively and become a better sales person by highlighting patterns in customer responses
  • Provide team leaders with detailed analytics on all communication between sales reps and potential clients including emails, phone calls and chats.

We have identified 11 artificial intelligence use cases and structured these use cases around 4 key activities of today’s sales leaders. We are currently focused on inside sales, for example a retail sales function has different main activities and therefore different AI use cases. Our framework is by no means comprehensive but it is ever improving so please let us know if you have any comments and suggestions:Primary sales activities and AI use cases in these activities are:

Forecast sales

Forecasts are complicated but automatable. AI allows automatic and accurate sales forecast based on all customer contacts and previous sales outcomes. Give your sales personnel more sales time while increasing forecast accuracy. Learn more about sales forecasting and explore top vendors.

Enable sales reps

Better prioritization can enable sales reps to better use their time. Sales reps normally leverage their experience from the last 5-10 years to decide which prospect to focus on. However, AI systems can leverage data from hundreds of sales reps to understand the factors that increase a prospect’s likelihood to buy and help your sales reps focus on the right prospects.

Lead generation: If you like your sales reps, give them leads! Without leads, sales reps spend precious time searching for leads instead of closing deals. For more info, please visit our comprehensive guide on lead generation or our explanatory article about lead generation.

Predictive sales/lead scoring: After lead generation, it is necessary to determine priority of leads. These platforms score customers’ likelihood of converting based on 3rd party and company data, allowing your sales reps to prioritize effectively. For more info, please visit our comprehensive guide on predictive sales or our explanatory article about predictive sales.

Sales content personalization and analytics: Once priority customers are decided, sales reps serve them better with sales content personalized to their needs and preferences.

Sales rep next action suggestions: AI will analyze your sales reps actions and leads will be analyzed to suggest the next best action. No one wants to waste time on email setting up a demo, when they could be closing another deal.

Automate sales activities

Simple activities or activities that do not require relationship building can be automated.

Sales data input automation: AI will synch data from various sources effortlessly and intelligently into your CRM

Sales rep response suggestions: AI will suggest responses during live conversations or written messages with leads

Meeting setup automation (digital assistant): Leave AI to set up meetings freeing your sales reps time. For example, Calendy links e-mails and conversations to your calendar while Clara responds to your e-mails and organizes your meetings.

Sales rep chat/email bot: Leave AI to do all the talking until she is ready to handover

Sales analytics & performance manage reps

Sales attribution: Leverage big data to attribute sales to marketing and sales efforts accurately

Customer sales contact analytics: Analyze all customer contacts including phone calls or emails to understand what behaviors and actions drive sales. Share these insights with all your salesforce to promote productivity

To get more information about these use cases including references, case studies, customer videos and information on vendors operating in this space, please visit us at appliedAI.com.

Leave a Reply

Your email address will not be published. Required fields are marked *