Predict On Time Deliveries, Forecast Demand, Plan Shipments and Improve Profitability
With Boolean’s Accelerators and ML as a Service Solutions for logistics Industries, captive Logistics Teams and 3PL players can leverage data to make better decisions and improve profitability.
Logistics Industry AI Predictions
The Dynamic Supply Chain and Logistics industry is very volatile and its time business leverage data and the power of advance data analytics to forecast demand, plan operations and ultimately drive profitability. Boolean’s team of data engineers and data scientists have helped several customers with Captive logistics teams and dedicated 3PL players to leverage data in multiple ways. Our accelerators have few predefined models that come out of the box and our team is ready to build new models and analytics for every business use case.
Boolean’s Logistics Industry AI Predictions 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 Route optimization Models
Predictive Analytics for most of the data models
Easy to Integrate and Configure External Incident Reporting Systems and Alerting Applications
Real time tracking and monitoring of shipments
Architecture Diagram of Logistics Industry AI Predictions Accelerator
Get Started with the Logistics Industry AI Predictions Accelerator
Learn how Boolean can help you reduce costs and optimise performance while ensuring control and compliance.
Request For Demo
Get Started with the Logistics Accelerators
About Boolean Data
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.
1255 Peachtree Parkway, Suite #4204, Alpharetta, GA 30041, USA.
Ph. : +1 678-261-8899
Fax : (470) 560-3866