AI can help boost revenue by providing strategies for maximizing deal size by providing the best prices based on customer\u2019s recent selling habits, their market size, competitor\u2019s prices, and the real-time market demand for the products.<\/p>\n
Salesforce CPQ provides complex discounting mechanisms, but all that is based on the configuration that is already setup in the system. Using AI, Sales Rep can help in giving the best discounts to the customer by using all the available data which is outside the system.
\nAlong with this, the algorithm can also refer to other deals for the same customer, and then provide in more discount to keep them interested in doing more business.<\/p>\n
![\"\"](\"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-content\/uploads\/2024\/01\/AICPQ-1.png\")
<\/p>\n
Sales Recommendations<\/span><\/p>\n Salesforce CPQ provides capabilities to give recommendations based on the products selected in the quote. This is done via code and is based on the existing data that has been setup in the system. Automated Approval Workflows<\/span><\/p>\n Salesforce CPQ provides Advanced approvals, which is a configurable setup. This helps in getting the deals approved by appropriate personnel based on some criteria. Combined with AI, this can further help in the approval process by automatically approving certain deals based on past experiences.<\/p>\n Upsell and Cross-sell Recommendations.<\/span><\/p>\n As AI algorithms can capture more data, they can stay updated with client\u2019s current business model, their needs and then try selling more products suiting different business verticals with the same client. These recommendations can be automated and be used for proactive and more targeted advertising.<\/p>\n Guided Selling<\/span><\/p>\n This is another feature which is already inbuilt in Salesforce CPQ and is highly used by Sales Reps to help reach to the correct product by answering a pre-defined set of questions. As this is a configurable setup done in the system, there is a limit to the questions that can be set. Natural Language Processing (NLP) for Quote Generation<\/span><\/p>\n This can be one of the most important features and use case of Generative AI in Salesforce CPQ. Conclusion<\/span><\/p>\n In conclusion, the advent of AI has changed the way businesses are running. If Predictive AI was the cake which dealt with all the huge volumes of data, Generative AI has been the cherry on the top and has started creating new content in natural language using all the data. <\/p>\n","protected":false},"excerpt":{"rendered":" Generative AI \u2013 The latest buzzword in the tech sector has left everyone bewildered […]<\/p>\n","protected":false},"author":510,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[11],"tags":[],"coauthors":[328],"class_list":["post-3679","post","type-post","status-publish","format-standard","hentry","category-cloud-analytics"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/posts\/3679","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/users\/510"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/comments?post=3679"}],"version-history":[{"count":4,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/posts\/3679\/revisions"}],"predecessor-version":[{"id":3690,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/posts\/3679\/revisions\/3690"}],"wp:attachment":[{"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/media?parent=3679"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/categories?post=3679"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/tags?post=3679"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-json\/wp\/v2\/coauthors?post=3679"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nWith Predictive AI, these recommendations can be done more pro-actively using knowledge about the client\u2019s current business models and priorities. System can also use its knowledge about what the customer\u2019s competitors are buying and can then help recommend appropriate product lines to stay up to date in the market.<\/p>\n![\"\"](\"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-content\/uploads\/2024\/01\/AICPQ-2.png\")
<\/p>\n
\nUsing Generative AI, the questions can be made more dynamic rather than static. This can be done by using data around customer\u2019s current business status and then asking appropriate questions.
\nThe answers put in can then be used along with more customer data to present the most suitable option.<\/p>\n
\nFor Quote creation, user needs to input certain values, like the dates and term of the quote, the products to be added, currency to be used etc. All this is a setup currently and requires an implementation team to set up based on client\u2019s requirement.
\nWith Gen AI capabilities around NLP, Sales Rep can create quotes using natural language, thus making the entire process more intuitive and efficient.<\/p>\n![\"\"](\"https:\/\/blogs.infosys.com\/infosys-cobalt\/wp-content\/uploads\/2024\/01\/AICPQ-3.png\")
<\/p>\n
\nSalesforce CPQ as a platform is primarily used by companies to sell their products.
\nUsing these in conjunction, businesses can leverage the power of machine learning to optimize their sales strategies, identify cross-selling and upselling opportunities, and ensure accurate and efficient quoting processes.<\/p>\n