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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
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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, SQLite seems to be more popular. It has been mentiond 18 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.
Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: about 3 years ago
I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 3 years ago
Use the most-used database in the world: https://sqlite.org/index.html. Source: over 3 years ago
With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / almost 4 years ago
SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / almost 4 years ago
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