Best Retail Management Software for KWI Unified Commerce Platform

Pimberly, a cloud-based PIM platform (Product Information Management), synchronizes all aspects related to product data management processes. Pimberly allows businesses to create incredible online experiences by allowing them to use richer product descriptions. The platform speeds up product launches, promotes overseas expansion, and increases speed to market.

42 is an end to end data omnichannel analytics platform and reporting platform designed for the retail industry. Our retail experts consolidate data from various sources (point-of sale, ecommerce sources and ERPs), as well as wholesale reports. With 42, executives, merchants, buyers, and sellers can get clear insights into how to grow their businesses by harnessing big data with more than 100 custom-built retail metrics. Our team has been creating custom solutions for retailers of all sizes since 2013, regardless of channel mix or existing data sources. 42 has been nominated and won several awards (LVMH Innovation Award and Innovation Award at Canadian Fashion Designers Awards, Forbes 30 under 30), and is supported by Y Combinator. Visit us at www.42technologies.com to get started.

Fashion and soft goods retailers and brands are challenged to adapt to changing consumer demands. Companies must find new ways to increase revenue and reduce costs in order to remain competitive in these highly competitive markets. Cloud PLM software for fashion companies is a great alternative to cumbersome and inefficient systems. Exenta PLM software is a revolutionary innovation in PLM. It can turbocharge your product's lifecycle. It elevates the user experience to a whole different level. It eliminates tedious data entry and allows designers to be creative. It automates time-consuming processes and speeds up product development. Whether considering your first system or an upgrade from your legacy PLM fashion software solution, a standalone or enterprise-integrated solution, we invite you to discover the evolution of PLM.

It provides deep, actionable information about consumers and their preferences and interactions across channels. This enables businesses to: Align marketing and sales around customer expectations, deliver consistent customer experiences based on intimate knowledge, offer convenient and responsive products and services at the right times, optimize business operations by closing that gap between insights and action. Machine learning is used to predict customer churn. Segmentation analysis of customer based on recency, frequency, monetary value, and visits. Align safety stocks to minimize the risk of overstocking.