Predictions based on analysis of big data

A prediction system comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the prediction system to:
• receive small business transaction data comprising payment information between a plurality of merchants and a software vendor;
• receive, from a computing device, enterprise merchant insights information;
• train a first machine learning model to adjust a weight on each of input factors;
• identify, based on the small business transaction data, based on the enterprise merchant insights information, and using the trained first machine learning model, recurring transactions associated with purchase of one or more services from the software vendor;
• train a second machine learning model to adjust a weight on each of prediction factors;
• generate, based on the recurring transactions and using the trained second machine learning model, an average contract price associated with a first service of the one or more services provided by the software vendor, and a confidence score associated with the average contract price;
• generate, based on the average contract price and the confidence score exceeding a threshold value, a recommendation comprising a renewal rate;
• and
• based on a determination that the first service provided by the software vendor is coming due for a renewal, send, to a particular merchant, an alert associated with the renewal, wherein the alert comprises the recommendation.

One or more non-transitory media storing instructions that, when executed by one or more processors, cause the one or more processors to perform steps comprising:

• receiving, by a first computing device, small business transaction data comprising payment information between a plurality of merchants and a software vendor;
• receiving, from a second computing device, enterprise merchant insights information;
• training, by the first computing device, a first machine learning model to adjust a weight on each of input factors;
• identifying, based on the small business transaction data, based on the enterprise merchant insights information, and using the trained first machine learning model, recurring transactions associated with purchase of one or more services from the software vendor;
• training, by the first computing device, a second machine learning model to adjust a weight on each of prediction factors;
• receiving, from a particular merchant, an input comprising a contract term length;
• generating, based on the recurring transactions, the contract term length and using the trained second machine learning model, an average contract price associated with a first service of the one or more services provided by the software vendor, and a confidence score associated with the average contract price;
• generate, based on the average contract price and the confidence score exceeding a threshold value, a recommendation comprising a renewal rate;
• and
• based on a determination that the first service provided by the software vendor is coming due for a renewal, send, to the particular merchant, an alert associated with the renewal, wherein the alert comprises the recommendation.