July 7, 2024, 8:01 p.m.
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Brief news summary

Shoe and accessories retailer ALDO is focused on developing its internal AI capabilities to drive business results. The company recently held a hackathon with McGill University and Amazon Web Services to revamp its search functions and improve product recommendations. ALDO is using a range of AI technologies, including machine learning and generative AI, to optimize areas such as demand forecasting and discount optimization. The company's data efforts, which span over the past five years, include customer patterns derived from website clicks and in-store purchases. ALDO prioritizes data privacy and uses anonymized, aggregated insights to drive AI and machine learning models. By relying on its own first-party data, ALDO aims to future-proof its data sets and reduce reliance on third-party tracking. As the AI landscape evolves, companies like ALDO are building internal systems to leverage the potential of AI while remaining flexible in adopting efficient use cases.

Shoe and accessories retailer ALDO is working on establishing its own internal AI foundations amidst the hype surrounding artificial intelligence. The company recently organized a Retail Gen AI Hackathon in collaboration with McGill University and Amazon Web Services. ALDO plans to revamp its search functions and enhance product recommendations using machine learning and generative AI. The company has been collecting data for the past five years, including customer patterns from website clicks and in-store purchases.

ALDO aims to leverage this data for various insights, such as demand forecasting and sale optimization. The company is also focused on maintaining data privacy and relies on its own first-party data for AI applications. While AI adoption is a growing trend, it remains to be seen whether companies can effectively incorporate generative AI and machine learning into their processes. The key is to remain flexible as AI evolves to reveal its most efficient use cases.


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