AI Magazine May 2025 | Page 175

to a technology arms race, which brings new challenges related to increasingly short product lifecycles.
“ Whether it’ s LG, Samsung or any of the other major companies, you have an environment where the adoption of AI and machine learning has accelerated the pace at which they develop new products exponentially,” Vish adds.“ It’ s essentially a constant cycle of innovation that creates challenges around how much inventory we hold as the distributor and means we have to be constantly moving at pace to ensure vendors satisfy their market.”
Vish describes other challenges in the fast-paced distribution sector that impact vendors and resellers.“ The face of distribution is changing. Shorter product lifecycles mean greater competition among vendors, which challenges us as the distributor sitting between them and the market,” he comments.“ We have to stay way ahead of the development and trend curves, having a deep understanding of vendor propositions and technologies, and the ability to create a platform very quickly to get them to market. As a specialist we also have to ensure we have the right services around those products.
“ Data helps us to do that and removes a lot of the more manual market research of the past,” says Vish.“ We harness new innovations in MarTech( marketing and data technology tools) to create demand and penetrate the right markets for our vendors. We use listening tools and technology to analyse market data, and have hired and built highly specialised teams capable of forecasting trends, understanding future product demand
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