Industry Solutions

Battery Life Black Box

Unauthorized fast-charging and deep cycling cause premature battery failure with no accountability tracing

Frequent Safety Incidents

High-frequency loading in narrow aisles with many blind spots leads to frequent collisions

T-Box Energy Monitor

Real-time capture of battery voltage, current, temperature and charge cycles to build per-vehicle energy profiles

ADAS Active Safety

Real-time pedestrian and obstacle detection with millisecond-level alerts and automatic speed limiting

LLM Energy Manager

AI analyzes charging behavior curves, identifies violations and pushes optimization strategies

Range Anxiety

Continuous refrigeration drastically cuts range; rated mileage vs actual severely mismatched

Equipment Mismatch

Experience-based selection leads to over/under capacity, keeping TCO high

T-Box Environment Sensing

Real-time collection of compartment temp/humidity and compressor power, linked to range model correction

LLM Range Correction

AI predicts true range based on historical conditions and ambient temperature, auto-optimizes routes

Smart Pre-Sales Selection

Input delivery scenario parameters, LLM recommends optimal vehicle config and TCO calculation

Hidden Corrosion Risk

Salt spray and heavy loads accelerate structural fatigue; invisible cracks cause sudden failures

Over-Maintenance Burden

Fixed-cycle maintenance causes waste; lack of remote diagnostics after failures

T-Box Load Spectrum Analysis

Continuously collects vibration, tilt, and load data to build structural fatigue models

Visual LLM Diagnosis

Upload fault photos for AI preliminary diagnosis and repair recommendations

Predictive Maintenance

Predicts failure windows from real-time data, shifting from scheduled to condition-based maintenance

Configuration Bubble

Lessors over-configure to inflate quotes; clients pay for unneeded features

Asset Loss & Misuse

Equipment scattered across client sites; overloading and private use hard to monitor

Smart Management Platform

Real-time tracking of every device's location, hours, health status with automatic anomaly alerts

Asset Optimization Agent

AI analyzes utilization data, recommends optimal configuration and reallocation strategies

R&D Blind Spots (Data Silos)

Massive equipment data scattered across client sites, unable to feed back into R&D, slowing product iteration and hiding design flaws

Sales Disconnect (Fragmented Scenarios)

Sales rely on personal experience, unable to quickly generate professional selection proposals for complex conditions like cold chain or ports

Service Gap (Globalization Challenge)

Overseas sales surge but skilled technicians scarce; cross-language barriers, slow diagnostics, high travel costs

Data-Driven Smart R&D

LLM analyzes massive T-Box operational data, auto-correlates fault codes with operating conditions, precisely defines products and optimizes battery and hydraulic system design

Scenario-Based Smart Sales

Sales input customer conditions, LLM recommends optimal vehicle model with dedicated packages, generates ROI analysis and competitive battle cards

Global Intelligent Service

Multi-language diagnostic Agent supports 50+ languages, combines repair manuals with real-time fault codes for instant repair guidance; predictive maintenance warns 3-7 days ahead

Smart Parts Fulfillment

CLIP visual model identifies parts from photos to match part numbers; Data Agent predicts regional parts demand for precision stocking