analyzes inventory metadata to predict demand for specific auto parts. Rather than holding inventory, we use MAMA (মামা), our AI-powered navigation tool, to project seasonal demand trends and optimize product listings.

We are pioneering the adoption of HS/HSN codes for inventory tracking in Bangladesh, enhancing transparency and efficiency in the auto parts supply chain. Additionally, we are actively testing our AI-driven forecasting models to support industry transitions, including the rise of electric and hybrid vehicles.

With a commitment to innovation, Mastodon Marketplace is redefining how auto parts are sourced, sold, and managed.