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Hivery bags new money to automatically optimize product placement on store shelves

TechCrunch

Hivery , a startup that bills itself as an “optimization platform” for retailers, today announced that it raised $30 million in a Series B round led by Tiger Global, the embattled private equity firm, with participation from Blackbird Ventures, AS1 Growth Partners and OneVentures. We call it ‘hyper-local retailing.'”

Retail 197
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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style. This changes the game for marketers.

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AI & Business Analytics: A Smart Guide

Sunflower Lab

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

percent of all retail sales (2.3 eCommerce share of total retail sales worldwide from 2015 to 2021. To remain competitive, retailers must allow in-store customers to enjoy the benefits of online shopping. In 2017, global eCommerce sales accounted for 10.2 trillion US dollars). This figure is projected to reach 17.5

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. Inventory systems make note of what is being replenished and, with the assistance of data analytics, predict when to order more and how frequently. .

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Freshflow is helping grocery retailers fight food waste

TechCrunch

For years grocery retailers have been using data driven forecasting to help them predict demand to figure out which products to reorder to keep shelves stocked. ” “And because that is the opinion … until now, for the most part, retailers have just relied upon people to do this part.” That’s nothing new.

Retail 219
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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. What is the top pain point for business executives? Worse still, things reshaping customer intentions happen quite unexpectedly.