
The digital transformation of the retail industry has increased speed to market, efficiency, and accuracy, across every sector of the business. In large part these advancements are due to predictive analytics systems that are helping companies make data-driven business decisions.
AI applications are playing a significant role in automation and augmentation of the retail process.
Many retail operations can still be improved however. CRM applications, sales process, purchases, and recommendations are just a few examples.
AI is not only a “lever” that helps improve performance, It improves productivity as well.
Octopeek has built and continues to deliver several machine learning models for retailers.
Use case in E-commerce sector
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Absorb all types of data and prepare them faster
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Retailers need to move from ad-hoc experimentation with AI to enable everybody within the organization to use it to improve both operational efficiency and deliver business value.
You can improve your productivity and increase your margins, using AI models for retailers with Octopeek.
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