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Core business scenario

Core business scenario
Intelligent lead generation and precision marketing

The system captures public bidding, social media, and customer behavior data from the entire network in real-time, constructs dynamic customer personas through generative AI, and automatically generates personalized marketing plans. For example, new energy photovoltaic enterprises utilize AI to analyze procurement data such as components and inverters, identify high-potential customers, and push customized product combinations, resulting in a 40% increase in lead conversion rate




Intelligent lead generation and precision marketing
Intelligent lead generation and precision marketing
End-to-end contract automation management

From electronic signature, clause compliance review to performance monitoring, the entire process is automated. A multinational engineering enterprise has achieved automatic correlation between contract terms and delivery progress through the LTC system. When there is a project delay, the system instantly triggers the calculation of liquidated damages and synchronizes with the legal department, resulting in an 80% increase in dispute resolution efficiency




End-to-end contract automation management
End-to-end contract automation management
Dynamic pricing and financial automated reconciliation

By integrating market supply and demand, customer credit, and historical transaction data, the system generates optimal pricing strategies in real time. A chemical enterprise achieved an 18% increase in profit margin during the period of raw material price fluctuations through the LTC dynamic pricing module; meanwhile, RPA automatically matched order, logistics, and invoice data, resulting in zero reconciliation error rate




Dynamic pricing and financial automated reconciliation
Dynamic pricing and financial automated reconciliation
Collaborative optimization of delivery and service

After product delivery, the system monitors the equipment operating status in real-time through IoT sensors, automatically triggers maintenance work orders, and matches the optimal service resources. A new energy vehicle enterprise utilizes the LTC system to achieve charging pile fault prediction, reducing service response time from 48 hours to 2 hours, and improving customer satisfaction by 35%




Collaborative optimization of delivery and service
Collaborative optimization of delivery and service
Intelligent supply chain collaboration and inventory forecasting

Monitor various nodes of the supply chain in real-time (such as raw material inventory, logistics transportation, and production line load), and predict future demand by combining historical data and market trends. A multinational retail group utilizes LTC's digital twin module to construct a virtual mirror image of the supply chain, predict the impact of the Southeast Asian rainy season on logistics in advance, dynamically adjust inventory distribution, and reduce the out-of-stock rate by 42%




Intelligent supply chain collaboration and inventory forecasting
Intelligent supply chain collaboration and inventory forecasting
Core business scenario

The system captures public bidding, social media, and customer behavior data from the entire network in real-time, constructs dynamic customer personas through generative AI, and automatically generates personalized marketing plans. For example, new energy photovoltaic enterprises utilize AI to analyze procurement data such as components and inverters, identify high-potential customers, and push customized product combinations, resulting in a 40% increase in lead conversion rate




Core business scenario
Intelligent lead generation and precision marketing

The system captures public bidding, social media, and customer behavior data from the entire network in real-time, constructs dynamic customer personas through generative AI, and automatically generates personalized marketing plans. For example, new energy photovoltaic enterprises utilize AI to analyze procurement data such as components and inverters, identify high-potential customers, and push customized product combinations, resulting in a 40% increase in lead conversion rate




End-to-end contract automation management

From electronic signature, clause compliance review to performance monitoring, the entire process is automated. A multinational engineering enterprise has achieved automatic correlation between contract terms and delivery progress through the LTC system. When there is a project delay, the system instantly triggers the calculation of liquidated damages and synchronizes with the legal department, resulting in an 80% increase in dispute resolution efficiency




Dynamic pricing and financial automated reconciliation

By integrating market supply and demand, customer credit, and historical transaction data, the system generates optimal pricing strategies in real time. A chemical enterprise achieved an 18% increase in profit margin during the period of raw material price fluctuations through the LTC dynamic pricing module; meanwhile, RPA automatically matched order, logistics, and invoice data, resulting in zero reconciliation error rate




Collaborative optimization of delivery and service

After product delivery, the system monitors the equipment operating status in real-time through IoT sensors, automatically triggers maintenance work orders, and matches the optimal service resources. A new energy vehicle enterprise utilizes the LTC system to achieve charging pile fault prediction, reducing service response time from 48 hours to 2 hours, and improving customer satisfaction by 35%




Intelligent supply chain collaboration and inventory forecasting

Monitor various nodes of the supply chain in real-time (such as raw material inventory, logistics transportation, and production line load), and predict future demand by combining historical data and market trends. A multinational retail group utilizes LTC's digital twin module to construct a virtual mirror image of the supply chain, predict the impact of the Southeast Asian rainy season on logistics in advance, dynamically adjust inventory distribution, and reduce the out-of-stock rate by 42%




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