Logistics

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The Logistics industry has an array of unique needs that can be greatly improved through quantifiable data solutions. Advanced data analytics along with leaner spatial analytical tools are transforming the industry and making industry players more efficient, effective and profitable. Our data scientists with spatial expertise, and partnerships with companies like Mapbox, help our clients implement innovative logistics solutions that keep them ahead of competition and thriving.

Logistics

Real-Time Vehicular Data Collection

Each vehicle can be equipped with sensor that collects important data in real-time as the vehicle goes through its daily operation. GPS position, vehicle speed and events are combined with external data sources — like traffic conditions — and displayed in easy to comprehend dashboards and visualizations that reveal anomalies and patterns. Layering machine learning on top reveals and suggests possibilities for improvement and predicts possible future issues so action can be taken before they become a problem. This solution conveys the big picture and enables users to drill down into the data to find root causes and opportunities to improves performance and make real-time data-backed decisions.

Logistics

Route Planning

Effective data-based route planning can drastically improve overall performance. Continuously collecting data from vehicles and external sources enables routes to be optimized. Routing can also be optimized based on the shipment, vehicle type, weather, road condition, restrictions, and other factors. This accuracy and holistic view this solution provides allow the user to maximize efficiency and avoid delays and fines. Commodity-based route planning keeps drivers on the fastest route while avoiding any restrictions.

Logistics

Driver Behavior Analytics

Capturing and optimizing driving behavior is a crucial risk management tool for any transportation company. By capturing driving data such as heavy braking, strong acceleration and cruise control usage provides insights that can be used to create effective and custom coaching plans. The data also reveals and enables the company to minimize risk by accurately identifying dangerous driving habits for which precautionary measurements or corrective actions can be taken. In the case of unforeseen events, the data provides crucial facts.

Logistics

Unmoved Vehicles

Capturing data of unmoved vehicles can be extremely useful. An unmoved vehicle is often not obvious through regular reporting and can become invisible. Identifying these invisible assets keeps their downtime at a minimum and can reveal rest areas that can be used to plan optimized travel distances routes.

Logistics

Fuel Consumption Tracking

Fuel is one of the biggest cost factors when it comes to any transportation business. Combining real-time fuel consumption data with other relevant factors allows fuel efficient plans that maximize output and identify driving habits that lead to fuel inefficiency to be created and implemented.

Technologies

HVR - is a entry of Starschema Ltd.
Mapbox - is a entry of Starschema Ltd.
Director, Product Management - Tableau - is a entry of Starschema Ltd.
Cloudera - is a entry of Starschema Ltd.
Talend - is a entry of Starschema Ltd.
MSSQL - is a entry of Starschema Ltd.
Alteryx - is a entry of Starschema Ltd.
AWS - is a entry of Starschema Ltd.

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