Logistics has evolved beyond simply moving goods from point A to point B. For manufacturers and retail consumer goods organizations, success now depends on how quickly complex network data can be transformed into insights that drive smarter routing, cost efficiency, and stronger carrier relationships. When lane data, rates, and operational inputs remain fragmented, optimization opportunities remain hidden and costs continue to rise.
The AI Smart Factory & Supply Chain Accelerator, powered by the Databricks Data Intelligence Platform, bridges this gap by turning raw logistics data into actionable intelligence. It provides a scalable foundation for network-wide visibility, optimisation, and decision-making across manufacturing and retail supply chains.
Convert transportation data into actionable network insights
The accelerator streamlines how logistics data is prepared and analyzed. Users upload lane information, rates, and operational inputs through a structured intake process. Databricks pipelines automatically validate the data, enhance it with mileage and market intelligence, and prepare it for downstream optimisation.
This automated preparation enables teams to move quickly from raw inputs to usable insights, helping them identify inefficiencies, evaluate alternatives, and continuously refine network strategies.
Operational visibility across every layer of the network
Using Databricks SQL serverless engines integrated with Power BI, the accelerator delivers intuitive dashboards that provide visibility at multiple levels:
- Lane Level: enabling detailed origin-destination comparisons
- Market Level: supporting strategic carrier and pricing decisions
- Equipment Level: aligning optimisation with real-world capacity constraints
By embedding these models directly into Databricks workflows, organisations gain consistent, repeatable optimisation outcomes that scale with their logistics footprint.
Backhaul and intermodal optimization built in
A key capability of the accelerator is its advanced backhaul analytics powered by Databricks Geo. By analyzing geospatial data at scale, the solution uncovers round-trip and backhaul opportunities that reduce empty miles and improve asset utilization. Teams can define preferred deadhead ranges to match carrier constraints and operational realities.
In parallel, intermodal pricing intelligence highlights opportunities to shift freight from truckload to intermodal transport. Detailed insights into drayage, accessorial costs, and transit times enable confident planning and negotiation, while supporting sustainability goals through reduced emissions.
What sets this accelerator apart
The AI Smart Factory & Supply Chain Network Optimization Accelerator is designed specifically for complex manufacturing and retail logistics environments. Its differentiators include:
- Databricks-native processing for scalability and performance
- Built-in geospatial intelligence for routing and backhaul analysis
- Rapid turnaround from data ingestion to usable insights
- Business-friendly dashboards designed for decision-makers
- Alignment with cost efficiency and sustainability goals
Here’s a quick example of how intelligent network visibility changed the economics of logistics
A leading retail organization faced escalating transportation costs due to fragmented lane data, limited visibility into unused capacity, and reactive routing decisions. Optimisation efforts were constrained by disconnected systems and manual analysis, making it difficult to identify network-wide improvement opportunities.
After implementing the AI Smart Factory & Supply Chain Accelerator, the organization achieved measurable operational improvements:
- Transportation and rate data was automatically validated, enriched, and unified into a single network view
- Lane overlaps, backhaul, and consolidation opportunities were surfaced using geospatial intelligence
- Intermodal scenarios were evaluated through transparent cost and transit comparisons
- Carrier discussions evolved from price-based negotiations to data-driven optimization conversations
- Network efficiency improved while reducing empty miles and supporting emissions reduction goals
What organizations gain
The accelerator delivers a ready-to-use solution that includes:
- Configured Databricks pipelines for logistics data processing
- Network optimisation and analytics models
- Operational dashboards across lanes, markets, and equipment
- Cost and carrier performance insights
- Enablement resources for business and technical teams
Start optimizing your supply chain network
With real-time visibility, advanced optimisation, and intuitive analytics, the accelerator equips supply chain teams to evaluate carrier alignment, optimize routing, reduce transportation costs, and improve overall operational efficiency.
As a trusted Databricks partner, zeb helps organizations build intelligent, AI-driven supply chain foundations that scale with business growth and support long-term operational efficiency.
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