
tgndata
Yellowfin
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Dundas
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PostgreSQL
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Microsoft SQL
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MongoDB
Oracle Database 12c
SAP HANA
tgndata is an AI-powered price intelligence and dynamic pricing software platform built for retailers, brands, marketplaces, and e-commerce companies that require real-time competitive visibility and automated pricing control.
The platform continuously monitors competitor prices, promotions, stock availability, and product assortments across online channels and digital marketplaces. Using advanced product-matching algorithms and near-real-time data collection, tgndata transforms raw market signals into structured, actionable insights. This enables pricing teams to react quickly to market changes, protect margins, and increase revenue through smarter, data-driven pricing decisions.
tgndata combines price monitoring, competitive intelligence, and dynamic pricing automation in a unified cloud-based solution. Users can build rule-based pricing strategies, automate repricing workflows, benchmark performance against competitors, and optimize assortments with precision. The system supports complex pricing logic, including MAP and MSRP monitoring, promotion tracking, and multi-market execution strategies.
Designed for scalability, tgndata serves mid-market companies and enterprise organizations operating in fast-moving sectors such as electronics, fashion, beauty, FMCG, baby products, and insurance. The platform supports global operations, multiple currencies, and extensive product catalogs, making it suitable for businesses managing thousands or millions of SKUs.
With intuitive dashboards and advanced analytics, tgndata provides visibility into pricing performance, competitor positioning, and revenue opportunities. Pricing managers and e-commerce leaders use tgndata to increase transparency, improve competitiveness, and drive sustainable digital commerce growth.
tgndata
PostgreSQLtgndata's answer
TGNDATA focuses on accurate data collection, product matching, flexible configuration, and support for complex pricing use cases across retailers and brands.
tgndata's answer
TGNDATA is designed for retailers and brands with e-commerce channels that need visibility into competitor pricing and control over their pricing strategy.
tgndata's answer
MediaMarkt, DoorDash, Fielmann, Wolt, Bolt, XXXLutz, PHILIPS, INTERSPORT, Stanley Black & Decker
Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 times 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.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 3 months ago
PostgreSQL 17 Performance Guide โ Official docs for the latest performance improvements. - Source: dev.to / 4 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 10 months ago
In this quick post, weโll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
Iโm on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
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