Products Sales AI

Customer Relations Management Artificial Intelligence (CRM AI)

DeLorean Artificial Intelligence (DAI) has developed a proven proprietary patent-pending technology, Customer Relations Management AI (CRM AI). CRM AI predicts if a deal will sell or not, if it will not sell where in the sales cycle will it die, and what is the next best action to move the deal to the next stage of the funnel and to win. Further, CRM AI allows sales to predict their revenue by quarter objectively. CRM AI knows which deals to pursue and those not to waste time. Our clients have seen a 7% increase in their sales with adoption of CRM AI.

DeLorean AI CRM AI

DeLorean Artificial Intelligence

DeLorean AI created CRM AI, a full-scale end-to-end system of intelligence that has the ability to:

  • Harvest all structured and unstructured data within a CRM funnel system into one database

  • Perform horizon dataset establishment and profile (customer, deal, sales person, event) modeling

  • Conduct real-time analysis of new deals, clients, and RFPs

  • Predict which opportunities will win, fail or drop off

  • Predict if a deal will not win, what are the next best actions to perform to increase the probability of winning

  • Harvest and ingest external data sources to increase the refinement of the horizon dataset

In terms of the business, CRM AI allows the Sales and Marketing team of a client company to push the bell curve of the opportunities to the right. Basically, the results of using the CRM AI will allow leadership to decide which deals should be pursued, who should pursue them (based on hyperpersonalized outputs informed by client, deal, and salesperson information), and ROI. More winning deals will have more focus driving increased wins and close rates.

DeLorean Artificial Intelligence

Product

Artificial Intelligence (AI) System of Intelligence (SOI) with real-time and predictive capabilities for sales pipeline and customer relationship management purposes; Customer Relations Management Artificial Intelligence (CRM AI).

DeLorean Artificial Intelligence

Our Competition and Ecosystem

Currently, there are a number of Customer Relations Management Sales Funnels available in the market such as Sales Force Dot Com (SFDC), HubSpot, PEGA, Pipedrive, and INFOR. These software platform companies provide a service to manage the sales funnels of companies. Within these platforms’ sales personnel have the ability to track their contacts and deals from inception to either win or loss. The amount of data that they capture has evolved from their initial adaptation in the market. These platforms now give the ability to evaluate sales metrics through more basic and traditional analytics such as close rate and win rate and a greater line of sight for sales managers to monitor and evaluate their deal funnel at a high level and where each salesperson is in terms of performance. What is lacking is the ability to quantify if a deal is worth pursuing, will the deal win and if it will not win why and what can be done to increase the win and close rate.

To this end a number of the CRM companies are in the process of trying to develop advanced data science and artificial intelligence tools to perform predictive analytics to assist their customers in managing customers, sales, deals and RFP’s. SFDC for example announced Einstein, their AI capability, which is still in development. These AI CRM personas are currently trying to predict if a deal will progress from one stage of the sales cycle to the next and are focusing predominantly on the analysis of structured data.

CRM AI Product Description

DAI has developed an SOI to integrate into a company’s CRM platform – Any company, any CRM platform. Specific focus to-date for clients has been to help achieve an enhanced level of accuracy in predicting sales cycle and end sales for varying products offered with different client populations. Further, DAI’s patent-pending proprietary technology has the ability to increase efficiency for field force sales.

CRM platforms such as Sales Force, Microsoft Dynamics, Hubspot, and Pega Systems are beginning to have the ability to generate insight as to how a sale will move from an individual phase of the sales cycle to the next, however, there is no clear capability to predict in real time how products or deals will perform with specific customers or clients.

DAI’s patent-pending CRM AI technology has the ability to predict in real time how a deal will perform in the future. Will it be sold? If it will not sell, what stage in the sales cycle will it fail? DAI’s technology also has the ability to infer why the sale will fail and which next best actions can be taken to increase the sale event or move the sale to the next phase of the cycle or successful end phase.

Our Patent Pending technology has the ability to connect to ANY CRM platform and complete the following:
1. Win/Loss Probability
2. Key Deal Progression Drivers
3. Next Best Stage Prediction
4. Final Deal State Prediction
5. Realtime Deal Directionality Prediction
6. Next best sales rep
7. Next best capability
8. Deal gap analysis
9. Deal conversion and intervention/recommendation

The CRM AI will allow for:

1. Increasing sales by 7% - current client experience
2. Increasing the population of deals that will win by excising deals not pursue
3. Choosing opportunities that have a higher probability for win and close rates
4. Shortening sales cycles
5. Reducing the cost of the win rate

Customer Relations Management Artificial Intelligence (CRM AI)

DeLorean Artificial Intelligence (DAI) has developed a proven proprietary patent-pending technology, Customer Relations Management AI (CRM AI). CRM AI predicts if a deal will sell or not, if it will not sell where in the sales cycle will it die, and what is the next best action to move the deal to the next stage of the funnel and to win. Further, CRM AI allows sales to predict their revenue by quarter objectively. CRM AI knows which deals to pursue and those not to waste time. Our clients have seen a 7% increase in their sales with adoption of CRM AI.

DeLorean AI CRM AI

DeLorean Artificial Intelligence

DeLorean AI created CRM AI, a full-scale end-to-end system of intelligence that has the ability to:

  • Harvest all structured and unstructured data within a CRM funnel system into one database

  • Perform horizon dataset establishment and profile (customer, deal, sales person, event) modeling

  • Conduct real-time analysis of new deals, clients, and RFPs

  • Predict which opportunities will win, fail or drop off

  • Predict if a deal will not win, what are the next best actions to perform to increase the probability of winning

  • Harvest and ingest external data sources to increase the refinement of the horizon dataset

RTMCM AI generates real time predictions and interventive next best actions for care managers and medical directors to drive the most efficient treatment modalities to drive better healthoutcomes. The AI model produces an interactive module that is easily digestible for care managers and gives a simple risk based prioritized list of next best actions per member to drive increased health outcomes and decreased cost. RTMCM AI decreases per member per month (PMPM) costs as well as decreased medical loss ratio (MLR). DeLorean AI’s clients have decreased on average their PMPM for the sickest 1% by $100 ($1200 annualized) and on average $10 PMPM decrease ($120 annualized) for the other 99% of members. RTMCM AI has been implemented in major disease state management such as End Stage Renal Failure, Cardiovascular, COPD, Diabetes and Juvenile Asthma.

Product

Artificial Intelligence (AI) System of Intelligence (SOI) with real-time and predictive capabilities for sales pipeline and customer relationship management purposes; Customer Relations Management Artificial Intelligence (CRM AI).

DeLorean Artificial Intelligence

CRM AI Product Description

DAI has developed an SOI to integrate into a company’s CRM platform – Any company, any CRM platform. Specific focus to-date for clients has been to help achieve an enhanced level of accuracy in predicting sales cycle and end sales for varying products offered with different client populations. Further, DAI’s patent-pending proprietary technology has the ability to increase efficiency for field force sales.

CRM platforms such as Sales Force, Microsoft Dynamics, Hubspot, and Pega Systems are beginning to have the ability to generate insight as to how a sale will move from an individual phase of the sales cycle to the next, however, there is no clear capability to predict in real time how products or deals will perform with specific customers or clients.

DAI’s patent-pending CRM AI technology has the ability to predict in real time how a deal will perform in the future. Will it be sold? If it will not sell, what stage in the sales cycle will it fail? DAI’s technology also has the ability to infer why the sale will fail and which next best actions can be taken to increase the sale event or move the sale to the next phase of the cycle or successful end phase.

Our Patent Pending technology has the ability to connect to ANY CRM platform and complete the following:
1. Win/Loss Probability
2. Key Deal Progression Drivers
3. Next Best Stage Prediction
4. Final Deal State Prediction
5. Realtime Deal Directionality Prediction
6. Next best sales rep
7. Next best capability
8. Deal gap analysis
9. Deal conversion and intervention/recommendation

The CRM AI will allow for:

1. Increasing sales by 7% - current client experience
2. Increasing the population of deals that will win by excising deals not pursue
3. Choosing opportunities that have a higher probability for win and close rates
4. Shortening sales cycles
5. Reducing the cost of the win rate

Our Competition and Ecosystem

Currently, there are a number of Customer Relations Management Sales Funnels available in the market such as Sales Force Dot Com (SFDC), HubSpot, PEGA, Pipedrive, and INFOR. These software platform companies provide a service to manage the sales funnels of companies. Within these platforms’ sales personnel have the ability to track their contacts and deals from inception to either win or loss. The amount of data that they capture has evolved from their initial adaptation in the market. These platforms now give the ability to evaluate sales metrics through more basic and traditional analytics such as close rate and win rate and a greater line of sight for sales managers to monitor and evaluate their deal funnel at a high level and where each salesperson is in terms of performance. What is lacking is the ability to quantify if a deal is worth pursuing, will the deal win and if it will not win why and what can be done to increase the win and close rate.

To this end a number of the CRM companies are in the process of trying to develop advanced data science and artificial intelligence tools to perform predictive analytics to assist their customers in managing customers, sales, deals and RFP’s. SFDC for example announced Einstein, their AI capability, which is still in development. These AI CRM personas are currently trying to predict if a deal will progress from one stage of the sales cycle to the next and are focusing predominantly on the analysis of structured data.