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Gram helps EU-focused e-commerce teams turn sales and packaging data into filing-ready EPR and PPWR reports without spreadsheets or manual guesswork.
The product is in early pilot, starting with Sweden, with the goal of covering every EU market. It is built for companies that need a clearer way to understand packaging compliance obligations, prepare market-specific reports, and keep track of changing EPR and PPWR requirements across Europe.
Instead of managing reporting logic in scattered spreadsheets, Gram structures the workflow around the data teams already have: products, packaging, sales, markets, and filing requirements. The result is cleaner reporting, fewer manual steps, and a more scalable compliance process as companies expand across EU countries.
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GetGram.eu's answer
Gram is built specifically for EU packaging compliance workflows, starting with EPR and PPWR reporting for e-commerce teams.
Instead of treating compliance as a generic checklist, Gram structures reporting around the data companies already work with: products, packaging, sales, markets, and filing requirements. That makes it easier to move from raw sales data to filing-ready reports without relying on scattered spreadsheets or manual reporting logic.
The product is in early pilot, starting with Sweden, with the goal of supporting every EU market.
GetGram.eu's answer
Most compliance tools either focus on broad legal tracking or leave teams to build their own reporting process in spreadsheets. Gram sits closer to the actual workflow: mapping sales and packaging data into the structure needed for EPR and PPWR reporting.
That makes it useful for e-commerce teams that need to understand what they owe, in which markets, and how to turn day-to-day business data into reports they can actually file. It starts with Sweden, but the workflow is designed around EU expansion from the beginning.
GetGram.eu's answer
Gram is built for e-commerce teams operating in the EU who need to manage packaging compliance across markets.
The primary audience is companies that sell products online and need to turn product, packaging, sales, and market data into filing-ready EPR and PPWR reports. Gram is especially relevant for teams that are currently handling this work in spreadsheets or manual processes, and want a clearer workflow as they expand beyond Sweden into other EU countries.
Based on our record, NumPy seems to be more popular. It has been mentiond 122 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.
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 10 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / about 1 year ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
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