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Data Expertise for Retail

AI for Grocery Retail

Turning Product Reviews into Actionable Insights with Machine Learning, market competitive analysis and basket intellienge

Customer Sentiment Analysis: Using machine learning to analyze product reviews and social media comments helps retailers understand what customers like and dislike about products and the store experience.

Powering retail analysis with speed & expertise.

Personalization: Using loyalty program data and purchase history, retailers can segment customers and create targeted marketing campaigns, personalized offers, and product recommendations that increase sales and build loyalty.

Store Layout and Product Placement: By analyzing customer traffic patterns and shopping behavior, retailers can optimize store layouts to improve the customer journey, place high-margin items in high-traffic areas, and cross-promote complementary products.

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Services

We are a data engineering succcess team!

Data Engineering & Architecture

Data Pipelines (ETL/ELT): They create automated data pipelines to integrate data from various sources (e.g., CRMs, social media, databases) into a single, unified system for analysis.

Data Platform Design: They design and build the infrastructure for collecting, storing, and processing data. This can include setting up data lakes, data warehouses, and cloud-based platforms.

Data Migration & Modernization: They help companies move from legacy systems to more modern, scalable platforms, often in the cloud, to improve efficiency and reduce costs.

Visit us

Schlossallee 9, 13156, Berlin, Germany

Hours

Monday—Friday 9am-6pm

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