Industrial Generative AI for Transport & Logistics
Industrial Generative AI has the potential to transform optimization strategies for supply chain design, routing, scheduling, and disruption management. According to McKinsey, generative AI could have up to a 2% annual impact on revenue in the travel, transport and logistics sector.
Smarter decisions in real time by harnessing live sensor data.
Many logistics operators struggle to fully leverage their sensor data in real-time. In some cases, physical constraints prevent the placement of sensors where they are needed to measure variables of interest. In other cases, the volume and velocity of incoming data can be overwhelming – there’s too much data, too fast. Problems with data quality, combining different sets of data, and edge processing issues can present further challenges. Perhaps the biggest hurdle of all, however, is in applying AI and machine learning to this live sensor data as it comes in to inform real-time decision-making.
Solutions for Transport and Logistics’ most complex industrial-scale challenges.
Anomaly Detection
LLM Retrieval
Optimization
Predictive Modeling
Sensor Fusion
Anomaly Detection
LLM Retrieval
Optimization
Predictive Modeling
Sensor Fusion
Detect anomalous events more accurately than conventional algorithms by using quantum techniques.
Key Challenges
Zapata AI Solutions
Compliance Automation
Automate the detection of regulatory compliance violations in product and planning documentation, facility sensor data and distribution network data.
Predictive Maintenance
Prevent downtime by training an algorithm to proactively identify early warning signs of equipment breakdowns.
Quality Control
Reduce defects using generative AI models trained to detect faulty components or finished products more accurately than conventional or manual approaches.
Safety Hazard Detection
Detect potential hazards with greater accuracy by training the detection algorithm with synthetic data simulating possible workplace scenarios.
Industrial Generative AI-Enhanced Race Strategy & Analytics with Andretti Global
Zapata AI has been working with Andretti Global to deliver an edge in their race strategy with Industrial Generative AI. Together, we reduced the time it takes to run a pre-race optimization process from minutes to seconds — while maintaining result quality. This allows the tool to be used repeatedly in the heat of the race, using the latest in-race data, rather than only once before the race.
How can these solutions work for your enterprise?