Product and Pricing Analytics for Commercial Excellence

As companies increasingly integrate data across functions, the boundaries between product development, marketing, sales and operations have been blurring.  This allows companies to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically aimed at selling the right product to the right customer at the right time at the right price. 

Based on recent studies by Mckinsey, key value drivers and enablers in tech-enabled selling and product innovation include rapid experimentation and extracting value from connected products and services, optimizing price dynamically, integrating real-time sales analytics into operations, omnichannel marketing attribution etc. 

Advanced analytics solutions are implemented to help companies to improve their mid-long term new product innovation, product portfolio and go-to-market and strategies in line with commercial goals.  These include predictive and prescriptive techniques (eg design of experiments, econometric modelling, statistical and machine learning, deep learning & AI, mathematical optimization, decision science and optimisation etc) to derive actionable insights for product innovation, marketing/sales and operations integration for demand generation and management.