How to Maximize Artificial Intelligence in your CRM Deployment

According to AI Multiple, 87% of sales teams are not satisfied with their inhouse customer relationship management (CRM) system with the primary reason being the additional overhead due to the number of manual tasks required, generating weekly pipeline reports and doing long weekly sales pipeline calls. 

Due to these reasons, many CRM systems  now include some form of artificial intelligence (AI). Companies all over the world are using AI-based CRMs to simplify the data entry and data quality issues and improve forecast accuracy. The following content will review the various ways in which AI can elevate your CRM system.

Solve the Data Entry and Data Quality Issues in CRM

CRM systems should automatically gather and tag all the  sales data and customer activity. By doing this the data entry and data quality issues in CRM will be solved. Plus sales teams should be alerted when there are updates to customer contacts and deals. This ensures nothing is missed. This frees up the sales team’s valuable time which they can spend on their  customer deals. The CRM systems should also do this  out-of-the-box. 

Automate you Deal Approval process

CRM systems will automatically alert sales managers with changes in the sales pipeline. They will easily approve changes to the deals from their emails or native phone apps. The deal specific workflows will automatically track and trigger these changes to eliminate delays and increase deal velocity.

Eliminate your Weekly Sales Pipeline Calls and Uncertainty in Forecasting

CRM systems will automatically generate real-time actionable management dashboard views of the sales pipeline with customer activity and AI driven sentiment analysis and  reduce uncertainty in forecasting. Executives will be able to drill-down to a single deal, collaborate with their sales teams. Managers will be able to track team workloads, identify, and address bottlenecks, improve resource allocation and utilization. AI will make the weekly sales pipeline calls archaic.

Analyze Patterns in CRM Sales Data

CRM gathers and stores countless sales data and lead activity. The challenge is how to use this data. With AI-based CRMs, you will  have a solution  which does real-time sentiment analysis  and helps the sales team to course correct in a timely manner. The solution will also find  patterns which can be used on similar deals and to coach sales teams.

Using the data and patterns, the AI will provide recommendations on when or how you should get in touch with a lead. AI-based CRMs are also capable of:

  • Identifying which deals are at risk
  • Determining when deals are likely to close
  • Forecasting revenue
  • Increasing  sales velocity

If your CRM includes AI technology, take advantage of its benefits. By maximizing the potential of AI, you may reap the benefits of increased productivity, accurate forecasting, huge cost savings, and efficient workflows.

A2O Mobile offers AI-driven CRM solutions that deliver real-time customer, deal, and pipeline intelligence. If you’re interested in how our AI solutions work, please feel free to schedule a demo with us. Our team will show you how our services can help you and your organization. 

It Takes a Deal Team to Win the Deal!

CRM systems will enable the Opportunity owner(s) to build the team they need for each deal, including the customer, to win the deal. As the deal changes and it always does, the CRM system will be flexible to enable the deal owner(s) to add, on an ad-hoc basis, the right SMEs and other external consultants, partners to the deal team to work closely with the customer to win the deal. 

Security – Opportunity Specific Role based Access Controls & 1to1 Privacy Controls

CRM systems will have Opportunity specific role-based access controls and 1to1 privacy controls. This enables secure inter and intra company teams to collaborate on deals.

Optimize your Human Capital by tracking your  Deal Team Workloads

CRMs systems will have the ability to track the deal team workloads. A typical deal involves a team – sales, sales support, SMEs, product managers, Pricing and quoting, R&D, manufacturing, Supply-Chain, legal, contract, Deployment and Delivery.  Managers will be able to track the sales pipeline along with their team work allocation. They will be able to eliminate bottle-necks and  optimize their team workloads based on priority and workloads.