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Gap Inc. bets on artificial intelligence to transform marketing and customization in scale

Manu Ramalho
Manu Ramalho

Gap Inc. announces marketing modernization plan with artificial intelligence, unifying data and customizing offers in real time through partnerships with Google Cloud, Zet...

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Gap Inc. is putting artificial intelligence at the heart of its marketing strategy, with the aim of turning the area into a scalable, real-time growth engine. In a bold move, retailer announced an ambitious modernization plan that includes building a unified database and adopting an AI-powered marketing stack in partnership with giants such as Google Cloud, Zeta Global and Publicis Sapient. The idea is to use your own data and predictive models to customize customer experience in brands like Gap, Old Navy and Banana Republic.

How does Gap use artificial intelligence to unify marketing data?

Gap's main challenge is to integrate fragmented data from various sources — from online shopping to physical shop interactions — to create a unique customer view. The unified database, hosted in Google Cloud, will ingest transaction data, browsing, store interactions, and even return history. Zeta Global machine learning algorithms will target customers in micro-audiences, while Publicis Sapient helps redesign marketing workflows to operate in real time. This approach eliminates internal silos and allows Gap to make decisions based on consistent data.

Strategic Partnerships: Google Cloud and Zeta Global in Gap Artificial Intelligence

Each partner brings a key piece: Google Cloud offers cloud infrastructure and machine learning capabilities to process large volumes of data and train predictive models. Zeta Global contributes to its marketing platform that integrates digital and offline channels, allowing coordinated campaigns based on customer signals. Publicis Sapient operates in the restructuring of marketing processes and in the agile adoption of new technologies. The plan, revealed by CEO Richard Dickson, focuses on turning marketing into a data-driven profit center, exploring its own channels as email and push notifications to reduce third-party data dependency.

Why is scale customization with artificial intelligence crucial for retail?

In competitive retail, customization is no longer differential and has become a requirement. Customers expect relevant recommendations and offers at the right time, and AI allows them to do this for millions of consumers simultaneously. Gap intends to use artificial intelligence to optimize from emails and ads to experience on the site and in stores, increasing engagement and conversion rates. Studies show that AI-based campaigns can increase revenue by up to 20%. Without this transformation, the company runs the risk of staying behind — as warns the study on 'business debts' that points out that $18 trillion are stuck in poorly implemented AI initiatives.

Frequently Asked Questions about Gap's bet on artificial intelligence

How will AI be used in Gap marketing?

The AI will be used to unify customer data, predict purchase behaviors and customize real-time communications and offers on all retailer channels.

Which companies are supporting this transformation?

The main partners are Google Cloud, for cloud infrastructure and AI; Zeta Global for integrated marketing platform; and Publicis Sapient for consulting in digital transformation.

When should the new strategy start generating results?

Gap has not released a specific schedule, but the plan is already underway, with the construction of the unified database and the implementation of the tools in the coming quarters.

Original source: Gap Inc. plans AI-led marketing modernization push - Retail Dive

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Manu Ramalho

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Manu Ramalho

Sou Manu Ramalho, publicitária com 16 anos de estrada conectando marcas e pessoas. Como fundadora da EME Marketing Digital, sempre busquei o marketing estratégico para gerar conexões autênticas. Aqui, mergulho na fronteira da inteligência artificial como analista de tendências. Meu foco é traduzir a complexidade de NLP, novos modelos de linguagem e papers acadêmicos para o mundo real, sempre com um olhar atento à regulamentação, ética e aos impactos sociais que essa tecnologia imprime na nossa sociedade.

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