Charting new growth paths for Logistics with AI


 to $0.5T worth of value for Artificial Intelligence in the Transportation & Logistics industry



of all supply chain technology solutions will be embedded with AI techniques by 2023



of cost reduction with higher productivity in transportation & logistics companies with AI

*BCG Analysis

Throughput Logistics Management Software

Optimizing the Flow of People, Goods and Services with ELI

The logistics industry is under a massive flux. Mounting consumer expectations, pressure on revenue margins and a surge of new technologies are pushing fleets to operate at breakneck speed. Artificial intelligence can help fine-tune core logistics strategies, to enhance real-time decision making related to issues like availability, costs, inventories, carriers, vehicles and personnel. These valuable insights are being used to reduce breakdowns while cutting fuel spend and unplanned maintenance costs.

WIth ELI’s AI engine, you can make the best use of your drivers’ time using the already existing truckloads of data.

Tackle a wide range of complex and repeatable tasks to automate the analysis and narrow down selections within a matter of seconds.

Address the “When, where and how?” to get holistic visibility and make better and more informed longer-term, strategic choices, such as warehouse locations, fleet size/specifications.

Predict inventory requirements and eliminate bottlenecks that can cause over-stocking or under-stocking of inventory.

Making your Fleets Profitable with All-Round Operational Efficiencies


600x faster Insights for improved Lead Times, Defect Rates & Cycle Times


ThroughPut’s ELI helps you realize initial ROI of upto 50x


ELI helps you increase your fleet Output by upto 200%

Automotive Artificial Intelligence Case Study

CASE STUDY : Japanese Automaker Realises Savings of $1.1M with ThroughPut Inc

ThroughPut, through its AI-driven product ELI, specially designed for automatically identifying and solving bottlenecks, enabled a leading Japanese automaker to identify processes that can be fully automated via robotics by running an evaluation of its casting process performance.

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