Pre Sales Case Studies

Pre Sales Case Studies-66
The solution is an Exsys Corvid Knowledge Automation system.

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Pre Sales Case Studies Controversial Topics For Research Papers For College Students

Slack is a layer of the business technology stack that brings together people, data, and applications – a single place where people can effectively work together, find important information, and access hundreds of thousands of critical applications and services to do their best work.They will weight the various factors and provide each customer with an order list of the best products, along with a detailed explanation of each product.Far better than search or database approaches to finding products which often either miss products or provide far too many - leaving the customer unsure that they are actually finding the best product for them.Exsys systems will provide only a few logically selected products with detailed information on how that product matches their specific requirements. Exsys expert system development tools and knowledge engineering consulting services are the result of over 28 years of enhancement, refinement and application to real-world problems.Exsys Inc has worked with business and industry in building expert systems, with a proven track record of successful, high ROI systems.Ideally, the customer can talk to a knowledgeable sales person who listens to their requirements, and makes a good, reasoned recommendation of the best product(s) for them.However, as more and more business is done via e-commerce on web sites, it has often become almost impossible to reach a knowledgable sales person to get questions answered.Many Fortune 100 companies have built support expert systems with Exsys tools. Before a customer will buy a product, they want to be sure it is best option for them and meets their requirements.Exsys Corvid Knowledge Automation systems can capture the logic and process of a top sales person, and provide an interactive web-based session with the customer.This confusion may delay their purchase, or they may go elsewhere.This is particularly a problem for technical products, or ones where there are many desired features and no single product is perfect.


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