At zeb, we understand the challenges logistics companies face in managing complex operations, optimizing resources, and staying ahead of the curve. That's why we've developed the AI-Driven Logistics Optimization Program – to transform your logistics landscape with cutting-edge automation and data-driven insights.

Our program leverages advanced AI solutions to revolutionize key aspects of your logistics operations. Gain actionable insights through AI-driven reporting, enabling data-driven decision-making for optimized efficiency and cost savings. Drive eco-friendly logistics with AI-guided sustainable shipping practices and optimizations, reducing your environmental footprint while maintaining operational excellence.

zeb aims to empower you to harness the full potential of AI and drive transformative results across your logistics operations. We achieve this by first conducting a thorough assessment of your specific needs and objectives, allowing us to tailor the development and implementation of AI solutions for maximum impact.

Key features depending on your specific needs and objectives:

• Advanced Reporting Engine: Gain actionable logistics insights with AI-driven reporting, optimizing efficiency and cutting costs through data-driven decision-making.

• AI-Enforced Sustainable Shipping: Drive eco-friendly logistics with AI-guided shipping practices and optimizations, reducing your environmental footprint while maintaining operational excellence.

• AI Shipper Retention: Enhance customer loyalty by analyzing shipping patterns and offering personalized service improvements, fostering long-lasting relationships and repeat business.

• Automated Carrier Match: Improve logistics efficiency with automated carrier matching based on cost, reliability, and other key factors, ensuring timely deliveries and optimized resource allocation.

• Comprehensive Infrastructure Setup: Crafting a customized architecture that leverages AWS services like Amazon SageMaker and Amazon Bedrock for seamless model development, training, and deployment.

• Efficient Model Training: Utilizing AWS Trainium instances for cost-effective and high-performance training of AI/ML models tailored to your logistics operations.

• Integration and Deployment Support: Ensuring smooth integration of your custom AI models into existing systems and guiding you through deployment for immediate impact.

• Ongoing Support and Optimization: Providing continuous assistance to refine and enhance your AI models, ensuring they evolve with your business and the latest AI advancements.

Deliverables depending on your specific needs and objectives:

• Future-state Architecture Diagram: A comprehensive architectural blueprint outlining the integration of AWS services, including Amazon SageMaker, Amazon Bedrock, tailored to your logistics operations.

• Total Cost of Ownership (TCO) Estimation: Utilize our pre-configured AWS Pricing Calculator to provide a precise projection of the operational expenses associated with the proposed solutions.

• Integration and Deployment Support: Ensure seamless integration of the AI solutions into your existing systems and workflows.

• Ongoing Monitoring, Optimization, and Support: Benefit from continuous monitoring, fine-tuning, and enhancement of the AI models, ensuring they adapt to evolving business needs.

• Custom Scoped Solution Development based on your specific needs and objectives:

  • Advanced Reporting Engine: Implement AI-driven reporting and analytics to gain actionable logistics insights, optimizing efficiency and cutting costs through data-driven decision-making.

  • AI-Enforced Sustainable Shipping Solution: Deploy AI-guided shipping practices and optimizations to drive eco-friendly logistics, reducing your environmental footprint.

  • AI Shipper Retention Solution: Leverage AI models to analyze shipping patterns and offer personalized service improvements, enhancing customer loyalty and fostering relationships.

  • Automated Carrier Match Solution: Improve logistics efficiency with automated carrier matching based on cost, reliability, and other key factors.

  • Generative AI Model Development: Collaborate with our AI/ML experts to design and develop custom generative AI models, leveraging Amazon Bedrock and Trainium instances, tailored to your specific use cases.

Timeline

The assess and road mapping phase typically spans approximately 2 weeks, the implementation activities may require 8-12 weeks (depending on the scope, size of product and availability of your project sponsor and technical teams).

Next Steps

Our typical next steps involve showcasing our previously implemented solutions, submitting a proposal for implementation services, including future-state architecture recommendations, technical design and implementation, testing, and production cut-over.