Predict Product Sales, Forecast Demand, Efficiently Plan Inventory and Create a WoW customer Experience with Boolean’s Data Accelerators for Retail Industry.
Leverage Snowflake to consolidate all Omnichannel Retail data into a central data lake and kick start your data modernization journey. Let AI, ML and Advanced Analytics help you forecast your demand and recommend your plan of action while you focus on creating a great customer experience.
Snowflake Retail Industry AI Accelerator
Omnichannel retail and advancements of retail technolgoies have created a great opportunity – data. But these data sources are siloed across different applications and its time we bring them all into Snowflake. Boolean’s accelerators help in migrating existing data and build pipelines and ETL’s frameworks to continuously move the data into snowflake and the Analytics, Data Science models with AI and ML will help business with demand forecasting, sales predictions, inventory planning and several other data focused business use cases.
Boolean’s Retail Industry AI Accelerator Includes
Data Pipelines to injest data from sources to Snowflake
ML and AI models for Demand Forecasting
AI and ML models for On Time Delivery Predictions and Optimization recommendations
Dashboards in PowerBI and Streamlit to observe and monitor the overall performance and profitability
Product Classification and Predictions on sales and profitabilities
Customer Quantification, Journey mapping and Customer profiling
Product recommendations for ecommerce channels
Awesome Dashboards for better business insights.
Video
Architecture Diagram of Retail Industry AI Accelerator
Get Started with the Snowflake Retail Industry AI Accelerator
Learn how Boolean can help you reduce costs and optimise performance while ensuring control and compliance.
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About Boolean Data
Systems
Boolean Data Systems is a Snowflake Select Services partner that implements solutions on cloud platforms. we help enterprises make better business decisions with data and solve real-world business analytics and data problems.
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Ph. : +1 678-261-8899
Fax : (470) 560-3866