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

Cloudera

DECEMBER 17, 2020

Product placement within apparel and department stores is well documented in positively affecting upsell and conversion. Real-time, Location-based insights to improve conversion .

Retail 57

Retail Apparel Analytics Enterprise 57

Zensar

FEBRUARY 13, 2020

In fact, blockchain and visual analytics can be used to verify the legitimacy of every part of the supply chain, saving both the buyers and manufacturers from fraud. 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.

Technical Review 40

Technical Review Retail Software Review Blockchain 40

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Altexsoft

JUNE 6, 2019

X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel. Forecasting demand with machine learning in Walmart. The use of ML-powered analytics solutions can help businesses forecast inventory demand with high accuracy. data is analyzed.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

AWS Machine Learning - AI

NOVEMBER 24, 2023

The future of ecommerce has arrived, and it’s driven by machine learning with Amazon Bedrock. About the Authors Dhaval Shah is a Senior Solutions Architect at AWS, specializing in Machine Learning. Doug Tiffan is the Head of World Wide Solution Strategy for Fashion & Apparel at AWS.

Generative AI 92

Generative AI eCommerce Lambda AWS 92

Capgemini

JANUARY 28, 2019

In response, apparel companies must make fast, fundamental changes to their business. But exactly how have the stars aligned around apparel-industry challenges and the ERP opportunity? Today, 18 of the top 20 apparel and footwear brands run its solutions, SAP reports. But for apparel brands, there were gaps in functionality.

Apparel 56

Apparel Fashion Artificial Inteligence Retail 56

Apiumhub

NOVEMBER 2, 2021

It uses machine learning and bioinformatics to analyse and predict vaginal microbiomes’ impact on female fertility. The company’s solutions combine pregnancy-specific wearables with data analytics to reassure moms and to provide doctors with better data to earlier predict and manage pregnancy complications.

Artificial Inteligence 80

Artificial Inteligence Testing Apparel Meeting 80

Altexsoft

DECEMBER 16, 2019

Big Data & analytics. IKEA partnered with Optoro , a technology startup offering a data analytics and machine learning platform. This system is a combination of cloud analytics and RFID technology. An American footwear and apparel manufacturer Wolverine Worldwide, Inc.

Transportation 19

Transportation IoT Blockchain Retail 19

TechCrunch

APRIL 28, 2022

Through the platform, data scientists could customize the avatars’ poses as well as their hair, facial hair, apparel (e.g., with a function), the easiest thing for a model to learn is to just replicate the behaviour of that function, rather than the actual problem you’re trying to approximate.”

Data 242

Data Weak Development Team Technical Cofounder Training 242