TechCrunch

JANUARY 25, 2023

Does the average person want to shop for apparel in virtual reality (VR)? The startup’s experimenting with machine learning as well, focusing on the tech’s ability to create visuals and 360-degree videos for product demos. On the other hand, a Deloitte survey from September found that just 5% of U.S.

VR 222

VR Apparel Retail Virtualization 222

Openxcell

APRIL 14, 2020

According to a Forbes report of “The Clear Path to Personalization ,” a survey conducted for 200 retail marketing executives by Arm Treasure Data to know more about personalization and how it helps in delivering a superior experience. Personalized Survey. And as it is said, happy customers become loyal customers.

eCommerce 64

eCommerce Mobile How To Apparel 64

Cloudera

SEPTEMBER 11, 2020

What they have learned is that often their legacy Machine Learning models (e.g. From an industry standpoint, the impact essentially breaks down into two high-level sectors – General Merchandise & Apparel (GMA) and Food, Drug, Mass (FDM). Automation opportunities.

Retail 87

Retail Technical Review Apparel Analytics 87

Altexsoft

NOVEMBER 11, 2019

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. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

Machine Learning 14

Machine Learning Artificial Inteligence Analytics Technical Review 14

Trigent

JULY 9, 2021

Artificial Intelligence (AI) and Machine Learning (ML). According to a McKinsey survey , AI can help enterprises maximize their gains by more than 50 percent a year. RFID tags have been used increasingly in the apparel sector, among many others. Internet of Things (IoT).

Trends 52

Trends Industry IoT Blockchain 52

Zensar

FEBRUARY 13, 2020

In a customer survey, 91% of the respondents indicated that the return policy impacts their purchasing decision to a great extent. Especially in the case of apparels and electronics, trends change quickly, and new styles replace older ones within a matter of weeks, leading to depreciation in value. The Bottom-Line.

Technical Review 40

Technical Review Retail Software Review Blockchain 40

Altexsoft

NOVEMBER 11, 2019

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. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

Machine Learning 8

Machine Learning Artificial Inteligence Analytics Technical Review 8