4 Flagship Case Studies
See how industry leaders leverage the 'AI + IoV' ecosystem to reshape productivity and safety.
XCMG Group
Full-Chain Digital Transformation Benchmark
The Challenge
With 198+ vehicle models and fragmented knowledge systems, traditional approaches couldn't support efficient global service. Pre-sales configuration and after-sales diagnostics were slow.
Our Solution
We built a four-layer integrated intelligent architecture for XCMG—Access Layer, Service Layer, Data Layer, and Business Layer—achieving deep transformation from data assets to business value:
LLM+RAG Inference Engine — Built enterprise-grade private knowledge base, cleansing 198+ vehicle master data and 5,800+ core service knowledge entries. RAG technology precisely retrieves manuals and BOMs, eliminating LLM hallucinations.
Multimodal Visual Interaction — Integrated CLIP vision model for 'Photo-to-Part' and 'Nameplate Recognition'. Technicians upload images to instantly lock material numbers and link to ERP inventory.
Intelligent Pre-sales Configuration — AI assistant uses knowledge graphs to auto-derive optimal configurations for complex conditions (e.g., cold chain), generating competitive comparison reports for 'standardized technical persuasion'.
3-Month Rapid Deployment
Blueprint release & data asset audit: Cleansed 198+ vehicle master data and built knowledge base
Core features go-live: LLM+RAG inference engine, multimodal visual interaction, and smart pre-sales configuration in trial operation
Phase 1 acceptance & full rollout: System passed acceptance, officially promoted to global dealer network
ROI
“AI-Driven's LLM has transformed our global service system. Issues that used to take senior engineers 30 minutes to look up in manuals can now be pinpointed by the AI assistant in just 1 minute — truly 'making knowledge flow'.”
Linde (China)
Dual-Scenario Excellence Experience
The Challenge
As a global premium brand, Linde adopts a dual-wheel drive model with 'AI Sales Assistant + AI Service Engineer Assistant' to deliver exceptional global customer experience.
Our Solution
Implemented 'Smart Hardware (ADAS/T-Box) + AI Model (Dual Assistants)' integrated strategy, achieving a complete loop from 'safety perception' to 'intelligent decision-making':
Full Lifecycle Mining — Breaking the pure vehicle sales model, building 'Pre-installed Smart Platform + AI Assistant' system. T-Box real-time data combined with ADAS safety defense provides high-quality data foundation for the AI model.
Pre-sales Value Anchoring — AI Sales Assistant generates 'Predictive Maintenance Proposals' based on historical conditions, quantifying wear risks to recommend customized maintenance packages, maximizing vehicle Lifetime Value (LTV).
Precise After-sales Empowerment — AI Service Assistant combines T-Box time-series data (voltage/temperature) for precise root cause analysis; system pushes differentiated repair solutions based on engineer level; identifies and warns of high-risk driving behaviors.
IoT + AI Integrated Strategy
Hardware foundation: Full deployment of ADAS active safety and T-Box smart terminals, building the data collection base
AI dual assistants go-live: Pre-sales AI Sales Assistant and after-sales AI Service Engineer Assistant in operation, achieving dual-scenario intelligent coverage
Data flywheel: Continuously optimizing LLM based on T-Box time-series data, forming a positive 'Data → Model → Service' loop
ROI
“AI-Driven helped us achieve a strategic shift from 'selling vehicles' to 'selling services'. Through the integrated hardware-software solution, we not only improved customer satisfaction but also opened up an entirely new service revenue growth curve.”
EP Equipment
Efficiency Revolution in Overseas Service
The Challenge
Explosive overseas business growth facing cross-border language barriers, skilled technician shortages, and complex 'one vehicle, one situation' maintenance challenges.
Our Solution
Addressing 'service supply-demand mismatch', deployed EPAI intelligent after-sales service model to solve cross-border communication and standardization challenges:
Semantic Parsing Engine — For non-standard descriptions from overseas technicians (e.g., 'mast shaking'), built-in semantic engine achieves 97.3% recognition rate, converting to standard fault codes and eliminating language ambiguity.
Multi-Agent Collaboration — 'Diagnosis + Parts + Service' Agents collaborate. WhatsApp queries trigger technical document search and overseas warehouse inventory check, achieving automated loop from 'problem discovery' to 'parts shipment'.
Knowledge Asset Flywheel — Established 'feedback and archiving' mechanism, automatically depositing successful repair cases back to knowledge base, enabling new technicians to quickly acquire expert-level capabilities.
2 Years from PoC to Commercialization
Proof of concept: EPAI after-sales intelligent service model completed core validation, achieving 97.3% semantic recognition rate
Scale deployment: Covering 500+ overseas agents, reducing diagnostic time from 60 min to 15 min
Commercialization: Projected multi-million RMB SaaS subscription revenue, transforming from cost center to profit center
ROI
“The EPAI model has completely transformed our overseas service model. Previously, overseas technicians had to wait for domestic experts to come online. Now the AI assistant is available 24/7 and communicates in local languages — customer satisfaction has soared.”
Noblelift Group
Cost Reduction & Efficiency Excellence
The Challenge
Focused on global after-sales refined operations, particularly solving fragmented service channels, high manual review costs, and parts mismatch issues.
Our Solution
Built unified intelligent service support system, breaking data silos, focusing on manual review costs and logistics losses:
Omni-channel Unified Access — Breaking Email/WhatsApp/400 silos, unified into AI agent terminal. LLM performs intent recognition and initial routing, significantly reducing manual customer service pressure.
Intelligent Claims Adjudicator — Introduced claims automation Agent, automatically reading work orders to compare warranty policies and lifecycle data, reducing 90% review costs, eliminating 'favor orders' and mis-claims.
Precise Parts Matching — Integrated with internal digital systems, AI automatically verifies parts inventory and compatibility, recommendation accuracy exceeds 90%, greatly reducing cross-border logistics losses.
Global After-Sales Refinement Upgrade
System integration: Connected Noblelift's internal CRM, EAS and other core business systems, breaking data silos and unifying into AI-powered agent terminal
Smart claims go-live: Claims automation Agent in operation, auto-comparing warranty policies and lifecycle data
Precise parts matching: Integrated with internal digital systems, AI auto-verifies parts inventory and compatibility
ROI
“AI-Driven's intelligent claims system has freed us from tedious manual review processes. A single claim used to require multiple rounds of multi-person approval — now AI auto-adjudicates, boosting efficiency by over 10× and eliminating favoritism in claims.”
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