Our Target Industry
Unstructed data pattern extraction and comparison technology enable profitability analysis in B2B and B2C segments
The product supported by our AI enabled engine
Trademonday – B2B Smart Supply Chain Intelligence
The B2B data solutions enable entreprises across supply chain to identify the product and demand correlationship of specific SKU across online-and-offline channels to enable product design, pricing, sales margin, channel optimization as well as competitor sales monitoring.
DataSunday – B2B2C Virtual supply chain SaaS solution
This is a SaaS solution enable online reseller extract any products from supply side marketplaces and directly import the product listing to consumer side marketplaces without holding any inventory.
RightHere – B2C Fashion Virtual Shopping Assistant
Unbiased virtual fashion assistant helps you find your Right STYLE, Right PRODUCT, Right PRICE
B2C Chrome Extension For Amazon Global Marketplaces
This solution is to enable user to extract whole product page data of any Amazon regional platforms regardless the security restriction
mytmon.com – B2C A product of Virtual supply chain
This is the B2B2C virtual supply chain platform that completely integrated between taobao.com and shopify, amazon and ebay to seamless publish the latest supplier’s products to global marketplace in just-in-time model.
What people mention trademonday
our LATEST NEWS
Jumpstarter event, organized by Alibaba Entrepreneur Fund, is aimed to demonstrate the top start-up from Hong Kong and worldwide. Trademonday has been selected as top 9 retail tech start-up by Jumpstarter to present the data analytic solutions for retail industry.
Organzied by retail innovation and technology association, TradeMonday awarded the best of retail start-up innovation (product) award. Our data analytic solution demonstrate how to optimise the sales margin for retailer and brand owner.
AI-empowered virtual supply chain solutions for online sellers For retailers, resellers and manufactures, who want to import and export products through online marketplaces, DataSunday is an AI-empowered data extraction tools for online marketplaces. Unlike web scrapping application, our solution offers flexibility and stability to extract the product, price, transaction, customer feedback and product review data[…]
TradeMonday sponsors the Joint University eCommerce Entrepreneur Competition, October 2017, Hong Kong
TradeMonday representative was with the participants of Joint University eCommerce Entrepreneur Competition (聯校電商創業家比賽) on October 6, 2017 to talk about the importance of data analysis in e-commerce and introduce TradeMonday to assist them for their competition. TradeMonday is also an award sponsor of the competition, the award will present to participant that can best demonstrate[…]
Retail Touch Points, September 21, 2017 “The Store As Platform This relates to stores becoming places that don’t simply house owned inventory, but that provide access to the products customers want. We’re seeing this with electronics retailers like Best Buy — they are carrying products that they don’t own, and when a customer buys them, they[…]
TradeMonday, the Cyberport incubation program intake 20 company, was selected by the latest hall of the fame in August.
Sourcing Journal picked TradeMonday is one of the up-and-coming startups ramp up relevancy in tough retail
Sourcing Journal, New York, July 7, 2017 “Retail is already rough and sales at many brands are taking hits, but startup TradeMonday is providing innovative technology to alleviate this issue. TradeMonday is a software-as-a-service (SaaS) machine learning market intelligence program, that can help retailers identify hidden supply and market demand, recommend an optimized product portfolio[…]
TradeMonday admitted by XRC Labs Cohort 4 companies, the New York based retail innovation accelerator program
XRC labs unveils Cohort 4 companies. TradeMonday selected as one of nine companies from 500 global applications. For more details, please visit : https://drive.google.com/open?id=0BwoIxkA7_4OwUjhDLUFDVld0Z00