How Artificial Intelligence powered revenue and accounts receivable forecasting can significantly affect a company’s cashflow.
Soothsayer Analytics builds a variety of A.I. driven business solutions such as Revenue Forecasting models that help businesses allocate budgets and plan future expenditures. These models also provide companies with deep insight into customer behavior and future sales that impact the bottom-line.
Accounts Receivable is a particularly important aspect of a manufacturing firm’s financials. Manufacturing companies have multiple invoices spanning across multiple customers. Knowing the probability of a customer paying or defaulting on an invoice helps the companies effectively plan revenue for all quarters of a fiscal year. Soothsayer has built accounts receivable models that predict the likelihood of a customer defaulting on an invoice. The model helps companies better prepare for impending defaults and have their collection teams jump to action pro-actively.
Soothsayer will present their A.I. Revenue Forecasting and Accounts Receivable solutions along with intuitive dashboards that turn analytics into action.
Shravan Adapa, Lead Data Scientist
Shravan has been building data science solutions for companies across various industries for the past decade. Prior to that, he worked as a software engineer and a programmer analyst with multiple companies. At Soothsayer, he works with different companies to understand their existing state-of-the-art systems and processes, helps them identify the areas of improvement, and builds better systems by leveraging the power of AI, machine learning and data science. He has a passion for learning new concepts in the realm of AI and data science and in implementing these solutions for various problem statements across industries.