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3 technology trends set to revolutionize retail

CIO

Few verticals have undergone as massive a change as retail in the last couple of years. Driven by cutthroat competition and significant shifts in customer expectations, retail companies are striving to align themselves with the changing landscape, with IT playing a crucial role in their ability to achieve this.

Retail 441
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Big Data: The Technology Behind Retailers Success

Smart Data Collective

During the beginning of the pandemic, many businesses went digital, and the retail industry is no exception. Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Key advantages of big data in retail. Source: Statista. Staying on top of trends.

Retail 315
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The impact of AI on edge computing

CIO

Retail stores and smart homes can use AI at the edge technology to personalize user experiences. You can learn about more use cases that are finally in the realm of possibility within retail here. AI algorithms can preprocess data at the gateway, reducing the volume of raw data sent to the cloud. Personalization.

Retail 578
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P&G turns to AI to create digital manufacturing of the future

CIO

We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale is a challenge.

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Dive Deep into the Growing Trend of Deep Learning: An Ocean of Information

IBI

Deep learning is a subdiscipline of machine learning (ML) that uses algorithms in a metaphorical adaptation of our understanding of human neurons. Deep learning can be vital in providing transformational business benefits: Predictive Analytics. Deep learning has a role to play in retail and B2C use cases.

Learning 109
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AI in e-commerce: Examples and best practices

bazaarvoice

In e-commerce, brands and retailers have used AI to improve their website’s search functionality and make better recommendations based on recent browsing activity. Now, leading brands and retailers are tapping this technology to improve the shopping experience for customers in innovative new ways.

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Harnessing Intelligence for Improving Food Distribution

SCIP

For example, predictive analytics algorithms can forecast future demand based on historical sales data, seasonal trends, and external factors such as holidays or events. By sharing data and insights with suppliers, distributors, and retailers, companies can streamline operations, reduce inefficiencies, and drive cost savings.