AI Smart Factory & Supply Chain Network Optimization Accelerator
Overview
Key Offerings
Automated Network Data Ingestion & Enrichment
Ingests origin-destination pairs, rates, and operational inputs through guided templates, validating and enriching data with lane mileage and market context using Databricks pipelines.
End-to-End Network Optimization Models
Applies optimisation logic across lanes, markets, and equipment types to identify cost-saving opportunities, routing improvements, and volume consolidation options.
Operational Visibility Dashboards
Delivers lane-, market-, and equipment-level insights through Power BI dashboards powered by Databricks SQL serverless engines for fast, interactive analysis.
Backhaul & Empty Mile Optimization
Uses Databricks Geo analytics to uncover round-trip and backhaul opportunities, reducing empty miles and improving asset utilization across carrier networks.
Intermodal Pricing & Planning Intelligence
Identifies opportunities to shift freight from truckload to intermodal, with detailed visibility into drayage, accessorial costs, and transit times.
Sustainability-Aligned Optimization
Supports lower emissions and greener logistics strategies by enabling cost-effective intermodal transitions and optimized routing decisions.
Deliverables
Databricks-Ready Ingestion & Optimization Pipelines
Pre-configured pipelines for ingesting, validating, enriching, and optimizing logistics and carrier data at scale.
Network Visibility Dashboards
Interactive dashboards providing lane-, market-, and equipment-level insights for operational and strategic decision-making.
Backhaul & Intermodal Optimization Models
Advanced analytics models to identify empty mile reduction opportunities and evaluate modal transition scenarios.
Cost & Carrier Performance Analytics
Comprehensive views into carrier alignment, pricing efficiency, and transportation cost drivers.
Documentation & Enablement Assets
Implementation guides and enablement materials for both business and technical teams.