Multiple layers of data processing and proprietrary predictive algorithms continuously assess a prospect’s propensity to engage and their inclination to convert as a buyer. The algorithms automatically learn from your historical business experience and the current market situations and trends. The predictive insights enable businesses run their marketing and sales campaigns focused on high potential opportunities.
Customer Persona Precog
A proprietrary segmentation algorithm groups similar customers and develops personas based on your demographic clusters, product buying patterns, and other behavioural attributes. The trained model is then applied over the prospects. The outcomes help the marketing and sales team focus on the right prospects at the right place at the right time.
Prospect Proximity Precog
Create new sales possibilities by exploring new customers in the same vicinity of an ongoing sales visit. A proprietrary efficacy algortihm intervenes logistically and optimizes the sales person’s tour to include high potential prospects nearby. This greatly improves campaign outcomes and help businesses exceed their sales targets.
Product Recommendation Precog
Smart identification of similar products and meaningful opportunities to improve sales. This proprietrary recommendation algortihm also help with channel engineering, dialog engineering, communication script engineering and touch scheduling.
Price Elasticity Precog
This precog is uniquely designed to gather insights on products and their specifications, prices and supply chain details. The intelligence on product demand and market surges assist choosing right products for the right customers.
Predigle Precog Hierarchy
Precog’s AutoML Pipeline enables continuous and automated learning.
Precog’s AutoML Pipeline enables continuous and automated learning.
01 01
Data Bots
Automated Bots establishes the pipeline that feeds data continuously to train and evolve machine learning models.
02 02
Algo Bots
03 03
Tutor Bots
04 04
App Bots
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