MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631017947 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on Feb. 18, for 'data-driven system and method for intelligent promotion timing and seasonal sales uplift optimisation in retail environments.'

Inventor(s) include Dr. Ananjan Maiti; Dipankar Basu; Promita Chakraborty; Parna Ghosh; Moulisha Roy; and Rajat Kumar Mondal.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "It describes and provides a novel system and a method to carry out intelligent analysis and optimisation of retail sales uplift using the modelling and quantification of the impacts of timing of promotions, seasonality, and the position of products on the shelf as a result of the promotion on sales volume. The invention enables the extraction of unambiguous consumer shopping patterns from structured retail data, leveraging sophisticated feature engineering and a fusion of statistical and machine learning methods to provide business people with interpretable insights into the factors driving sales performance. The invention introduces an end-to-end, data-centric pipeline that includes data preprocessing automation, data robust time-feature extraction, promotional window segmentation, data exploratory analytics, data predictive analytics, and actionable visualisation of critical sales dynamics. Specifically, the system's ability to transform heterogeneous sales records into business-relevant intelligence enables data-driven decisions on financial allocation, inventory, and marketing, making it rather notable. The figures accompanying the article illustrate the analytical essence and operational functions of empirical results, including the time trend in sales, the influence of promotion and seasonality, product positioning effects, and the relative significance of predicting variables for the sales outcome."

Disclaimer: Curated by HT Syndication.