Sales in B2B companies are a tough nut to crack towards conversions. In all organizations, it takes months to close enterprise sales. Normally, the sales cycle happens to be longer impacting conversion rates. This is the inherent characteristic of sales in a b2b organization. Starting from demo to closure part is smart work requiring perseverance and proper homework. Your clients will need time to validate the credentials and prospects before turning up! But Artificial Intelligence (AI) is proving a helpful digital technology for sales. As per HBR (Harvard Business Review), organizations who used AI for sales increased their leads by over 50 percent, 60-70per cent reduction in call time while cost reductions were 40-60per cent in all. We will see various applications of AI in sales, how AI is supporting sales and bringing a huge amount of efficiency, productivity generating higher ROI.

1. Demand Forecasts
AI applications help in sales forecasting accurately. Although sales and demand forecasts are complicated, they are highly automatable. The previous sales records, outcomes, customer contacts and interactions, help AI in forecasting sales accurately and automatically. The forecast accuracy gives the sales team ample time to focus on sales strategies and related affairs.

2. Lead-Generation
AI helps in enabling sales representatives to prioritize their activities. These sales reps are experienced people who can rightly estimate which prospects they should focus on. However, they need leads to do detailed research on them and come out with a better conclusion (whether they are prospects or not). AI applications can do this, extracting data from multiple sales reps. This way, AI is enabling them to comprehend several factors that might convert leads into prospects and buy ultimately. Their precious time is saved (as AI has helped in lead generation). Now they can focus on sales closure properly.

3. Lead Prioritizing/Predictive sales
After lead-generation work is over, determining leads’ priority comes. AI applications help in this as they calculate scores whether customers are going to convert. This step is based on third-party data and other company data like company- traffic. Thus, AI helps sales representatives prioritize leads more effectively. Website identification AI tools help in managing and prioritizing leads.

4. Personalized Sales Content & Analytics
AI-based applications help generate personalized sales content that helps to connect with potential customers. After prioritizing leads and customer-list, Sales representatives plan and personalize content as per those listed customers’ needs, preferences. Prospects’ rate of engagement increases if they see personalized content. Sales content personalization helps to convert site visitors leading to retaining customers. Even AI analytics help to analyze leads and actions done by sales reps, for future course of actions. This means AI-powered analytics helps to give suggestions for the next perfect most moves to be taken by the sales reps.

5. Automation of Sales Activities

• Automation of sales data input.Syncing data from varied sources and integrating them into CRM.
• Automated suggestions for sales reps while dealing with leads.
• Automated digital assistants for organizing meetings.
• AI-Avatar for digital marketing interactions with leads.
• AI-ML-enabled digital chatbots,in-store robots also help in sales activities in varied ways.

6. Sales Performance Managing Reps & Analytics

• Leveraging Big Data for sales attribution to marketing accurately and effectively.
• Customer sales analytics providing valuable insights that help sales reps.
• Price optimization as per insights drawn helps Salesforce to decide prices after competitors’ analysis reports.
• Layout optimization for in-store b2c type business.

Conclusion
By now you have gained ample knowledge on how AI applications are helping modern sales to boost effectiveness, productivity as a whole. Since the sales cycle is a long process, closure takes more time and clients need satisfying detail before taking the final call. AI applications help in all these sales processes via automation, analytics, sales content personalization, and so many ways. Varied AI-enabled sales assistants applications and solutions are bringing AI into the work environment making sales activities a convenient process.