Building reliable AI/ML decisioning systems needs algorithms to understand specific business contexts, train on the right data, update themselves in real-time, learn from prior experiences and any humans in the loop. To enable this, a collaboration of multiple disciplines and cross-functional capabilities is necessary.
We bring together these capabilities to make AI a valuable tool for decision making across several functions. We build solutions ranging from fully autonomous real-time decisioning systems to predictive intelligence for augmenting human decisions.
Leverage structured and unstructured data to predict future events – trends, pricing decisions, fraud risk, customer attrition etc.
Drive superior operations and planning through demand forecasting, cost planning, granular sales, shipment forecasting etc.
New age algorithms tht operate without human intervention – e.g. real-time bidding, IoT sensor data-based activity, recommender systems, advertising interventions.
Achieve optimal revenue, margin, or cost by choosing the right inputs under a given framework of constraints – inventory management, resource optimization, scheduling, auctions, logistics, distribution, etc.