AI Based Predictive Engine for Logistics of E-Commerce Company in USA

Faster analytics performance

Seamless Experience

Affordable Implementation

Competitive
advantage

Save Days Worth
of Effort

Company Profile

Client is a leading e-commerce platform for small businesses and individuals to start their own online e-commerce stores. The platform offers a variety of products from different suppliers such as fashion, beauty, and home décor. The company aims to help millions of people become entrepreneurs and attain financial freedom globally. They also provide training and support to their users for business growth.

Problem Statement

The client faced typical industry challenges of optimizing logistics operations and reducing costs amidst rising competition and customer expectations. Lack of visibility into the operations and agility hindered their ability to respond quickly to changes in demand, and they struggled with inventory management and waste reduction. Predicting demand, inventory management, and optimize delivery routes in real-time were the main challenges the company was facing as they scale their operations across United States.

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 Inc developed a predictive engine that could help the client optimize their logistics operations. The cloud-based platform accessible via web interface was designed to provide real-time insights into demand, inventory, and logistics routes. It leveraged Artificial Intelligence and machine learning algorithms to analyze data and predict demand patterns. The engine suggested optimized routes leading to  costs reduction and efficiency improvements.  

The predictive engine was integrated with the client’s existing ERP and logistics management software. Historical data and real-time data were used to train the ML algorithms for demand patterns, inventory levels and logistics routes by providing insights and recommendations. The predictive engine was able to extract data from these systems and use it to provide insights and recommendations with near real-time analytics.  

Business Impact:

  • Optimized Logistics Operations and Cost Reduction: The predictive engine developed by Kanerika Inc helped the e-commerce platform client to optimize their logistics operations and reduce their transportation costs by 15% and inventory costs by 20%. 
  • Real-Time Insights for Informed Decision Making: Real-time insights into demand patterns, inventory levels, and logistics routes allowed the client to respond quickly to changes in demand and make informed decisions about inventory management and logistics planning. 
  • Improved Efficiency and Reduced Manual Data Input: The predictive engine’s integration with the client’s existing systems, including their ERP and logistics management software, improved overall efficiency and reduced the need for manual data input. 
  • Data-Driven Decisions: The predictive engine’s ability to extract data and provide insights and recommendations allowed the client to make data-driven decisions, improving overall business performance. 
  • Competitive Advantage and Business Growth: The successful implementation of the predictive engine allowed the client to remain competitive in the e-commerce industry and continue to empower small businesses and individuals to start their own online stores. 

Why Kanerika?

Kanerika is a leading 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. 

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Kanerika enables you to create data-driven insights to improve your business.

Kanerika enables you to create data-driven insights to improve your business.