AI agents (digital employees) have officially entered the logistics industry.


Release time:

2026-03-04

Recently, Dongyin Technology and Guangjin Logistics officially signed an agreement to deeply integrate AI digital employees (AI Agents) into their Transportation Management System (TMS), covering key business scenarios such as order pre-processing, capacity allocation, price review, and receipt verification. This TMS project represents the logistics industry’s first step in embedding AI Agents throughout the entire daily operational workflow, marking the successful implementation of a paradigm shift in the logistics sector—from “systems assisting humans” to “AI‑human collaborative decision‑making.”

Recently, Deep Insights Technology and Guangjin Logistics officially signed an agreement to… Transportation Management System ( TMS ) Deeply integrated AI Digital Employee ( AI Agent ), covering key business scenarios such as order pre-processing, capacity allocation, price review, and receipt verification. This marks a step forward for the logistics industry in… AI Agent Deeply embedded in the entire daily operational process TMS The project marks a shift from… System-assisted person To “AI” Collaborative Decision-Making with Others The paradigm shift has already taken root in the logistics industry. 

 

01

Logistics industry AI Agent The moment has arrived. 

2025 Since the year… AI Large model technology is accelerating its penetration into enterprise applications worldwide, from general-purpose conversational assistants to deep integration in vertical scenarios. “AI Agent” The concept is redefining how enterprise software is interacted with and where its value lies. 

 

However, in the logistics and transportation industry—where process control and multi‑role collaboration are critically dependent—the true implementation of… AI From Adding flowers to brocade. Push to Core Productivity The number of such cases remains few and far between. 

 

Traditional Logistics TMS The system’s capability boundaries are very clear. They excel at information collection, process workflows, and automated decision‑making based on fixed rules. However, when business scenarios involve complex load‑planning decisions, dynamic cost analysis, unstructured data processing, and multi‑dimensional intelligent auditing, traditional systems often fall short. This is precisely where… AI The areas where digital employees can shine. 

 

02

First Collaboration Implemented: 

AI Digital Employee × Guangjin Logistics TMS Project 

 

Recently, Deep Insights Technology and Guangjin Logistics officially launched… TMS System Cooperative Project. Guangjin Logistics is a comprehensive third-party logistics enterprise specializing in nationwide distribution for daily chemical brands, offering end-to-end logistics and delivery services that span all scenarios—from factories to distributors, retail outlets, and e-commerce terminals. 

The core breakthrough of this project lies in: AI Digital employees are not add-ons. Smart Plugin , but rather with TMS Seamless integration of core business processes Digital Colleague It replaces the traditional order list interface with natural language interaction. , truly transforming the daily work routines of logistics professionals. 

 

Specifically, AI Agent (Digital employees) will play a role in the following four core scenarios:

 

Order Preprocessing 

Automatically identifies order anomalies, verifies minimum shipment quantities, and intelligently flags special requirements, significantly reducing the repetitive workload of customer service clerks. 

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Figure 1 AI Digital Employee Order Preprocessing Scene Interface On the left is AI Dialogue interaction area: the middle section displays the intelligent order validation list, while the right side features the pre‑processing overview panel. 

Capacity Allocation 

Based on historical data and real‑time constraints, it intelligently generates customized vehicle‑routing plans, supporting complex scenarios such as multi‑order consolidation and multi‑warehouse pickup. 

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Figure 2 AI Digital Employee Schedule and Load Scene Interface On the left is AI Dialogue interaction area, with map visualization in the center and an intelligent recommendation panel on the right. 

Price Review 

Automatically compares historical transaction prices, budget baselines, and market fluctuations to provide scheduling management with precise decision‑making support. 

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Figure 3 AI Digital Employee Price Review Scene Interface On the left is AI Dialogue‑style analysis area: The center features a price comparison chart, while the right side displays the review rules and alert panel. 

Receipt Review 

Intelligently recognize receipt information, automatically match it with the corresponding order waybill, complete archiving, and trigger the settlement process. 

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Figure 4 AI Digital Employee Receipt Review Scene Interface On the left is AI Dialogue interaction area, with the middle section being… OCR Recognition and matching results; the panel on the right displays the review progress. 



03

Why is it? Digital Employee Instead of Smart Tools

 

We deliberately use Digital Employee Rather than Smart Tools Let’s define this technological capability, as it represents a completely new human‑machine work paradigm. Traditional system tools are passive. Users click buttons, fill out forms, and view reports; digital employees, on the other hand, are proactive. It can understand context, analyze data, highlight high‑value information, eliminate redundant noise, and engage in conversational collaboration with operators through natural language. 

As shown in the four scenario interfaces above, AI Digital employees are uniformly adopted. Left side AI Dialogue Middle Office View Smart Panel on the Right A three‑column layout. Whether it’s order verification, load planning, price review, or receipt archiving, operators can interact with the system using natural language. AI Completed through collaboration. 

 

For customer service clerks, dispatchers, and finance staff at Guangjin Logistics, digital employees mean: No longer need to search through a densely packed list of orders. Cross-border e-commerce Key information means no longer needing to rely solely on experience when making load‑planning decisions, and no longer needing to manually compare delivery notes with order information. AI Digital employees free them from mechanical, tedious, and repetitive tasks, enabling them to focus on exception handling and management decision‑making. 



04

Why Now Is the Best Time (First-Mover Advantage) 

The logistics industry is currently in a critical window for digital transformation. 

On the one hand, shippers are increasingly demanding higher levels of digital capabilities from logistics service providers; from real‑time tracking to intelligent risk management, these have all become entry barriers for cooperation. 

 

On the other hand, the intense competition in fast-moving consumer goods industries such as daily chemicals is increasingly putting pressure on the logistics segment; reducing costs and improving efficiency is no longer just an optimization initiative—it has become a matter of survival. 

Against this backdrop, taking the lead in… AI Logistics enterprises that seamlessly integrate capabilities into their daily operations will establish significant competitive barriers in terms of service response speed, cost control accuracy, and customer experience. Guangjin Logistics’ decision to partner with Deep Insights Technology at this particular juncture demonstrates its keen insight into industry trends and its forward‑looking strategic vision. 



05

Deep Insights Technology: Let… AI Agent Truly Start work

 

Deep Insights Technology has always firmly believed that, AI In enterprise settings, the true value of technology lies not in how impressive it is on its own, but in whether it can genuinely integrate into business processes, solve real-world problems, and create tangible value for frontline employees. 

 

This collaboration with Guangjin Logistics marks a new chapter for Deep Insights Technology. “AI” Digital Employee The first large-scale implementation of our product philosophy. Our technical solution features the following characteristics: 

 

First, AI With TMS Seamless integration of standard features , rather than independent AI Assistant; 

Second, for different job roles (Customer Service, Dispatch, Finance, Risk Control, On-Site Personnel) Provide differentiated intelligent services.

Third, Replace traditional list-based interfaces with natural language interaction. , fundamentally enhancing the user experience. 

 

The realization of this collaboration will not only mark a commercial milestone for Deep Insights Technology, but also for the logistics industry. AI A signal that the application has entered the real‑world implementation phase. We believe that when… AI When digital employees are truly integrated into the daily operations of logistics enterprises, they not only boost efficiency but also drive a systemic leap in the quality of logistics services and the company’s competitive edge. 

 

Deep Insights Technology will take this project as a starting point and continue to deepen its engagement in the logistics industry. AI Applications—exploring together with industry partners Human–Machine Collaboration a new paradigm that helps Chinese logistics companies seize the initiative in the wave of intelligent transformation.

Tag:

AI Agent,AI Agent,Digital Employee,TMS System,Transportation Management System

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