Dataweave
Wiser
SPS Commerce Analytics
RQ
ChannelGrabber
Webgility
Numerator Insights (formerly InfoScout Insights)
CrazyLister
Woven Insights
EDITED
Heuritech.com
Woven Insights is a powerful data analytics platform designed to transform vast amounts of data into actionable insights, tailored to empower decision-makers in the fashion industry. By combining sophisticated technology with user-friendly interfaces, Woven Insights offers two main modules—Market Insights and Consumer Insights—that cater to diverse needs but share core functionalities.
1. Real-time Data Analysis: Both Market Insights and Consumer Insights leverage real-time data processing to provide up-to-date information that helps businesses respond quickly to market and consumer behavior changes.
2. Advanced Analytics and Visualization Tools: Each module incorporates advanced analytics capabilities, allowing users to explore complex datasets through highly accessible and intuitive dashboards. These tools include trend analysis graphs, heat maps*, and customizable charts that simplify the data interpretation process.
3. Predictive Analytics: Utilizing machine learning algorithms, both modules offer predictive insights that can help forecast market trends per time, enabling proactive decision-making.
4. Scalable Data Integration: While Woven Insights already has retail market data and consumer insights from over 40 million analyzed customer reviews and more than 4 million fashion products worldwide, it also allows for custom analysis where users can request for new brands/retailers to be analyzed, ensuring a holistic view of both market conditions and consumer preferences.
5. User-centric Design: Despite the sophisticated technology underpinning it, the platform is built with a focus on user experience, featuring easy navigation and clear, actionable insights tailored to non-technical users.
Say goodbye to guesswork with Woven Insights. You get all the needed information to make accurate and profitable decisions for your fashion business. Ready to take the next step?
Dataweave Woven InsightsNo features have been listed yet.
Woven Insights's answer:
It combines the power of data and the voices & actions of shoppers around the world, and distills them into actionable insights to help fashion businesses of all sizes to meet their customers' expectations, and stay ahead of the competition.
Woven Insights's answer:
We currently provide our users with AI precision and insights that actually work, by leveraging the voices of over 40 million shoppers and more than 4 million analyzed products in the market - at the best pricing in the industry!
Woven Insights's answer:
Fashion Manufacturers, Merchandisers, Retailers, Researchers and Brands of all sizes.
Woven Insights's answer:
https://woveninsights.ai/site-blog/why-are-retail-analysis-tools-so-damn-expensive/
Based on our record, Dataweave seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Do connect with the eCommerce intelligence solution providers to explore more. Source: almost 2 years ago
Wiser - Share relevant content w/in your organization.
EDITED - Big data for the fashion industry.
SPS Commerce Analytics - SPS Commerce Analytics helps transform messy item and sales data into insights to help meet consumer demand and boost profit.
Heuritech.com - Heuritech.com is a technology company that gives cutting-edge fashion brands access to predictive analytics on trends and products by using artificial intelligence technology.
RQ - RQ by iQmetrix is a cloud-based retail management system for your business that allows you to manage every aspect of your business from inventory, staff, and sales.
ChannelGrabber - ChannelGrabber is omnichannel eCommerce software for product content optimization, listings, inventory, order, shipping, invoice and message management. Integrates with eBay, Amazon, Shopify, and more.
