FMCG Product Barcode Dataset

@malaikamb2001

Drawing on my extensive experience as a Data Scientist and Programmer, I am well-equipped to fulfill your project needs. With expertise in Python for data analysis and visualization, I can efficiently clean and transform your raw data into a format that's ready for import into your database system. Additionally, my skillset extends to incorporating extra attributes like ingredients or images that may be valuable for your purposes.

@geethasekar1995

I am a senior developer of ASP.NET Core MVC & CMS & ASP.NET with over 8 years of experience in software development. I am an expert on windows and web development using C#, VB.NET, VB6, ASP.NET, Entity Framework. I work with ASP.NET, Core, MVC, Web API, WebServices, WCFServices, Webform, SQL Server, MongoDB, MySQL, Crystal Report, RDLC, SSIS, SSRS, HTML, CSS, Javascript, TypeScript, Jquery, AJAX, Angular, TFS, SVN, Github, GitLab, Azure, Plesk, Angular, Angular2, Javascript, HTML, CSS, JQUERY I use the Repository Pattern, Onion Architecture, Domain-Driven Design Architecture & Dependency Injection Design Pattern. I follow the SOLID principle. When working on a project with you, I like to keep in touch so we both have a clear understanding of our needs and vision of the project we are creating together. I deliver a quality product on time and on budget. Client satisfaction is my main goal. Thank you for your time and consideration.

@ciccio75

product_id,product_name,brand,barcode,pack_size,category,mrp,currency 1,Coca Cola Original Taste,Coca Cola,5449000000996,500 ml,Beverages,40,INR 2,Pepsi Cola,Pepsi,8902080000123,500 ml,Beverages,40,INR 3,Maggi Instant Noodles,Nestle,8901058854255,70 g,Instant Food,14,INR 4,Dove Beauty Soap,Dove,8901030865545,100 g,Personal Care,55,INR 5,Lux Soft Touch Soap,Lux,8901030702055,100 g,Personal Care,38,INR 6,Colgate Strong Teeth Toothpaste,Colgate,8901314000125,150 g,Oral Care,95,INR 7,Head & Shoulders Anti Dandruff Shampoo,P&G,4902430745005,180 ml,Hair Care,165,INR 8,Surf Excel Easy Wash Detergent,Hindustan Unilever,8901030734506,1 kg,Household,120,INR 9,Ariel Matic Front Load Detergent,P&G,4902430742004,1 kg,Household,215,INR 10,Parle G Biscuits,Parle,8901719102011,100 g,Biscuits,10,INR 11,Good Day Butter Cookies,Britannia,8901063020012,200 g,Biscuits,35,INR 12,Amul Butter,Amul,8901262000012,100 g,Dairy,55,INR 13,Tata Salt Iodized,Tata,8901047000011,1 kg,Grocery,28,INR 14,Fanta Orange,Coca Cola,5449000131805,500 ml,Beverages,40,INR 15,Sprite Lemon Drink,Coca Cola,5449000011527,500 ml,Beverages,40,INR 16,Kissan Tomato Ketchup,HUL,8901030862100,500 g,Sauces,110,INR 17,Nescafe Classic Coffee,Nestle,7622210449283,100 g,Beverages,285,INR 18,Red Bull Energy Drink,Red Bull,9002490100070,250 ml,Energy Drink,125,INR 19,Dettol Antiseptic Liquid,Dettol,8901396000013,250 ml,Health,125,INR 20,Vim Dishwash Liquid,HUL,8901030712009,500 ml,Household,95,INR

@Pbehera082

Hello, I can help you collect and organize a clean FMCG product dataset with barcode, product name, brand, pack size, category, and MRP in a CSV or database-ready format. I pay close attention to accuracy and can also provide sample rows first so you can review the structure before the full dataset is completed. I’m ready to start and will ensure the data is well-structured and easy to import into your database.

@SujZal

Hi, I’m Sujal, a professional data specialist with experience in data entry, data processing, and database-ready formatting. I can compile a comprehensive FMCG dataset including product name, brand, barcode (EAN/UPC), pack size/net weight, category, MRP, and optional fields like ingredients, images, or GST rate. My approach: I’ll provide a sample of a few rows first for your approval. The final dataset will be clean, organized, and import-ready in CSV, JSON, or SQL format, as per your preference. I’ll include a read-me explaining field names, encoding, and any assumptions. I guarantee accuracy, clear documentation, and timely delivery. I am ready to start immediately and will ensure the data is ready for direct database import. Looking forward to working with you!

@anweshar60

As an enthusiastic beginner with a strong background in data entry, I believe I could readily assist you in gathering and structuring your FMCG barcode dataset. My sophisticated expertise with digital tools, especially Excel, will allow me to pull data efficiently and present it in a clean, well-documented format tailored for your specific needs. My role doesn’t end there: I'm committed to providing you with ongoing support by documenting any assumptions made and explaining the encoding used to create an easy-to-use final product. Even though my technical foundation is basic, my affinity for learning ensures that I can quickly adapt to new skills or technologies required for a given project. This project signifies more than just compiling data. It requires attention to detail and an organized mindset both of which undeniably define me as a professional. Lastly, while my experience may not be extensive as compared to some of the options available to you, it’s precisely this reason that makes me all the more reliable and fresh. I am incredibly motivated and committed to delivering high-quality work on time. Moreover, building long-lasting relationships through consistency is important for me; therefore I promise to offer utmost diligence and dedication throughout our association. I look forward to helping you out on this significant project.

@shantilatan9

​"I am an expert in Data Entry and Google Sheets. I can handle your inventory data very accurately and quickly. I have a lot of free time right now, so I can start working on your project immediately and finish it on time. I am very hardworking and dedicated to quality work. Looking forward to your reply."

@dushyants50

Hello, I can help you compile a comprehensive dataset of FMCG products including product name, brand, barcode (EAN/UPC), pack size, category, and MRP. I will organize the data in a clean and well-structured format so it can be easily imported into your database. I have experience with data collection, web research, and spreadsheet management. I will ensure that the dataset is accurate, consistent, and properly formatted in CSV or JSON format with clear field mapping. I can also provide sample rows first so you can review the structure before I complete the full dataset. I am ready to start immediately and will maintain high data accuracy throughout the project. Thank you.

@Rohitworksss

Hello, I carefully read your project description and understand that you need a well-structured FMCG dataset including product name, brand, barcode (EAN/UPC), pack size, category, and MRP in a clean import-ready format. I can collect reliable data from multiple sources and organize it into a structured CSV or JSON file so it can be easily imported into your database. I will also include a short read-me explaining the field structure and any assumptions used while compiling the dataset. To ensure the format meets your expectations, I can first provide a small sample dataset for review before completing the full compilation. Accuracy and clear structure will be my priority. I am ready to start immediately and will ensure the dataset is clean, well organized, and easy to import into your system. Looking forward to working with you.

@LeelPugazh27

Accurate and fast data entry specialist ready to deliver high quality work on time.I can organize ,update and manage your database with 100% accuracy and timely completion.

@jitendrakr78

Hi, As MIS executive i work on sensitive data entry of production data, sales data on daily basis. I am confident that i can do work on FMCG items as per your requirement and deliver it on time. Waiting for your positive response. Thanks & Regards Jitendra Kumar

@deshmukhtanuj25

Hello, I’m Tanuj Deshmukh, a Computer Science student and AI enthusiast with experience working on AI projects that involve collecting, labeling, and managing large datasets. Through these projects, I have developed strong skills in data research, extraction, validation, and structuring large volumes of information. Deliverable: I will compile a comprehensive FMCG product dataset including product name, brand, barcode (EAN/UPC), pack size or net weight, category, and MRP. Where available, I can also include additional attributes such as ingredients, GST rate, and product image links. To build the dataset, I will research multiple reliable product and barcode sources, extract relevant information, and validate the records to ensure accuracy and consistency. The final dataset will be cleaned, standardized, and structured so it can be easily integrated into your system. The dataset will be delivered in a clean, database-ready format such as CSV with clearly defined headers, along with an optional SQL import script. If needed, I can also provide the dataset as a JSON dump suitable for NoSQL environments. The dataset will cover multiple FMCG categories including food & beverages, personal care, and household items to ensure broad coverage. If you would like, I can also prepare a small sample dataset so you can review the structure and data quality before the full delivery. Looking forward to working with you. Best regards, Tanuj Deshmukh

@niketu88

Hi, I can compile a clean, database ready FMCG dataset containing barcode information (EAN/UPC) across multiple categories such as food, beverages, personal care, and household products. Workflow: 1. Data Collection - Extract product data from reliable public barcode and retail datasets - Cover multiple FMCG categories for broad coverage 2. Data Cleaning & Structuring - Normalize product names and brands - Validate barcode formats (EAN/UPC) - Standardize pack size, category, and pricing fields 3. Dataset Output The final dataset will include fields such as: - Product Name - Brand - Barcode (EAN/UPC) - Pack Size / Net Weight - Category - MRP Optional fields (if available): - Ingredients - GST rate - Product images Deliverables: - Import ready dataset (CSV/JSON/SQL format) - README explaining schema and field mapping I can also provide sample rows early for schema confirmation before compiling the full dataset.