Sagacito: Guiding Sales from Post-fact analysis to Pre-fact Intervention

In today’s competitive world, businesses expect to be able to guide and control every transaction that happens in the field. On the other hand, Customers look forward to instant & transparent pricing, relevant cross & upsell offers and real time approvals. Unfortunately, most of the current BI or CRM systems aren’t geared for this process. New Delhi headquartered Sagacito has devised a unique method to use deep Machine Language to create a strong sale guidance system. Sagacito is a an Enterprise SaaS start-up in the space of Big Data Analytics, led by industry veterans from UniLever, Walmart, Whirlpool, and Pepsi. Sagacito is focused to transform Pricing and Revenue Management through its proprietary suite of revenue management products that are driven by quant based adaptive algorithms.

Addressing the Sales Process Pain Points
B2B sales are always managing multiple variables that connect together to make a transaction happen. Therefore, when a sales representative negotiates with a shop owner or an advertising agency or a corporate for hotel room sales, it’s never a standard sales process. If one were to mathematically analyzing every single variable that goes into determining the price, volume and mix one will realize that the human mind falls short to keep up all that. Sagacito tries to address this need gap of the sales team. The company has created some deep learning models essentially giving a correct guidance, customer by customer, transaction by transaction solutions to help a business’s sales team to narrow down on the kind of volume or mix that is required to maximize the possibility of a sale and the margin that can be earned from the sale, customizing the deal for an individual customer becomes easy with a machine learning models. Maximizing
the margin and market share is essential in every deal. Sagacito has built 4 products to look at all the aforementioned problems in the sales process. -P Mod (Planning module), Y-Max (Yield module), P-Gov (Pricing Governance), and Rev-X (Revenue multiplier).



Sagacito is focused to transform Pricing and Revenue Management through its proprietary suite of revenue management products


P Mod is an adaptive planning module designed to do instant in market simulations, sensitivity analysis and individual level deployment of the annual operating plan. Y-Max is typically a yield maximizer that performs predictive pricing and optimization algorithm to deliver a 'most likely' price. P- Gov caters to manage deviations. It’s a real-time platform that ensures instant approvals before the sale happens, based on scientific rules rather than just heuristics. Rev X, a revenue multiplier, maximizes the total revenue while managing the market share in real time with 'Cross and Upsell' recommendations and predictive churn modeling.

“Sagacito has plans underway to go after two of the largest segments that use very large and distributed sale teams Media and Fast Moving Consumer Goods”, informs Arunabh Das Sharma, MD & CEO, Sagacito. Besides, the company has closed a strategic funding round from Star India along with a contract for its services. Being a hardcore math based Computation company, Sagacito uses a lot of emerging models of machine learning and deep learning to make the entire sales process seamless and productive.