AI Powered Delivery Prediction Model for Logistics Company in USA

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Company Profile

Client is a leading logistics company that specializes in secure transportation and delivery of high-value items, including artwork, jewellery, and luxury cars. They cater to Ultra-High Network Individuals & businesses, and their services include strict security measures, insurance coverage, and specialized handling and packaging techniques. Their highly skilled and process-oriented team is committed to providing the highest level of service and security to their customers, with 24/7 customer support available. Their mission is to be the go-to logistics provider for individuals and businesses who require specialized handling of their valuable possessions.

Problem Statement

As a leading logistics company that caters to high value items, the slightest hindrance in the delivery timelines will make them lose the client, experience and the portfolio. Client has been experiencing a high rate of delayed deliveries due to various external factors such as traffic congestion, road closures, and severe weather conditions. The delays effects customer satisfaction, reputation and financial performance. The company used all traditional logistics systems to manage deliveries, but they were not equipped to handle the complexity of predicting delivery times accurately to manage the customer experience and expectations.

Featured services

Automated Application Process

Ensures higher productivity and efficiency with a significant reduction in spent time.

Data Integration and Consolidation

The process of consolidation which earlier used to take a weeks’ time can now be executed within hours.

Consolidated Reporting

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Improved performance

Significant improvement in workforce productivity and business performance on account of automation of data consolidation and analytics.

Solution

Kanerika’s team implemented an AI-powered delivery time prediction system that uses real-time traffic data, weather conditions, and historical delivery times to predict delivery times with more than 87.98% accuracy. The system also considers various factors such as the size and weight of the item being delivered, the delivery location, and the mode of transportation. Machine learning algorithms were developed to identify patterns and relationships across 28+ parameters and delivery timelines. The system is designed to continuously learn from the patterns and improve its predictions based on real-time data inputs to account for unforeseen circumstances such as traffic incidents or harsh weather conditions.

Business Impact

Improved Delivery Timelines: The AI enabled delivery forecasting system helped the client make deliveries with 87.89% accurately which improved customer satisfaction and in turn the company’s reputation.
Reduced Costs: The new model reduced the failed deliveries, maintained identifying efficient delivery routes and schedules and customer experience.
Increased Efficiency: The new system automatically generates the delivery schedules and optimizes delivery routes, which reduces the manual intervention to help deliver on time.
Improved Customer Retention: The timely delivery of the valuable goods and enhanced customer satisfaction helped customer retention.

Why Kanerika?

Kanerika is a lead global IT consulting company offering innovative solutions & services for businesses. Kanerika focuses on Data Integration, Analytics, Process Automation and Cloud Management as core focus areas apart from Custom Product Development. ISO 27701 certified and SOC II compliant Kanerika processes ensure the quality, predictability and compliance. Kanerika’s technology and process expert teams have been helping its global clients with development and automation using agile methodologies.