TechCrunch

JANUARY 8, 2024

After recently turning to generative AI to enhance its product reviews, e-commerce giant Amazon today shared how it’s now using AI technology to help customers shop for apparel online.

Artificial Inteligence 293

Artificial Inteligence Apparel Generative AI Technical Review 293

Apiumhub

JULY 5, 2018

Artificial Intelligence is really taking over the world. Read on to learn more about the importance of artificial intelligence in eCommerce. Artificial intelligence in eCommerce: statistics & facts. Let’s continue with Artificial intelligence to see how they are actually linked.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Case Study eCommerce 67

Altexsoft

JUNE 6, 2019

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. Let’s find out how retailers invest in high tech to impress customers in physical stores and use tools to increase efficiency and speed of their operations.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Trigent

AUGUST 20, 2023

In that case, it is essential to understand why companies consider adopting new technologies or digital transformations like Augmented Reality (AR) and Virtual Reality (VR) to meet customer needs. This technology has entered various fields of business and offered a changing aspect. As of 2023, there are 65.9 million VR users and 110.1

VR 52

VR Technical Review Technology Virtualization 52

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . What they have learned is that often their legacy Machine Learning models (e.g.

Retail 89

Retail Technical Review Apparel Analytics 89

Altexsoft

NOVEMBER 11, 2019

But there are technologies to improve the accuracy of demand forecasting. 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. Data sources for demand forecasting with machine learning.

Machine Learning 14

Machine Learning Artificial Inteligence Analytics Technical Review 14

Capgemini

JUNE 11, 2020

I have been engaged in the retail industry for 16 years, and I think it has been hit the hardest: millions of jobs lost, an estimated $430 billion downturn in retail revenue according to NRF estimates , 58% reduction in foot traffic across retail industries, and a more than 37% drop in online sales for apparel and footwear.

Retail 52

Retail Apparel Machine Learning Artificial Inteligence 52