From Static Rules to Autonomous Intelligence: How AI-Driven Bidding is  Redefining Retail Advertising Economics

Ameya Gokhale

From Static Rules to Autonomous Intelligence: How AI-Driven Bidding is Redefining Retail Advertising Economics

Authors

Ameya Gokhale

Keywords:

Autonomous Bidding Systems, Retail Media Optimization, Machine Learning Infrastructure, Goal-Based Advertising, Demand Orchestration

Abstract

Retail advertising has entered a structural inflection point. Rule-based bidding systems, long relied uponfor their transparency and control, are increasingly unable to cope with the scale, speed, and complexity of modern retail media ecosystems. Drawing on a decade of hands-on experience designing

References

Suranjit Kosta and Maganti Sushanth Babu, "Machine Learning-Based Optimization of Digital Ad Placement: A Literature Review," ResearchGate, 2024. [Online]. Available: https://www.researchgate.net/publication/391008328_MACHINE_LEARNING BASED_OPTIMIZATION_OF_DIGITAL_AD_PLACEMENT_A_LITERATURE_REVIEW

Downloads

Published

2026-01-31

How to Cite

Ameya Gokhale. (2026). From Static Rules to Autonomous Intelligence: How AI-Driven Bidding is Redefining Retail Advertising Economics. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 811–821. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4797