Karthik Venkataraman works for a chemicals importer in Taloja, Navi Mumbai, where he has managed the company’s transport contracts for nine years. A new requirement means moving about ten containers of polymer granules from Nhava Sheva to Delhi-NCR every month.
He knows rail service exists. What he cannot find is the right company to call.
He types “container by rail Mumbai to Delhi” into Google. The results give him shipping lines, a port authority, terminal companies, companies that run container trains and old service documents. Almost every result is relevant. None gives him the complete answer.
One city-to-city question becomes a terminal puzzle
His company describes the requirement as Mumbai to Delhi. The rail network speaks a different language. Mumbai becomes JNPT or Nhava Sheva. Delhi can mean Tughlakabad, Dadri, Garhi Harsaru, Piyala, Patli or another terminal in NCR.
Official pages show that the rail connection and terminal capacity exist, mainly for EXIM traffic. JNPA’s rail connectivity page describes its northern corridor through Tughlakabad and Delhi. DP World’s Nhava Sheva terminal page says the terminal handles 100 trains a month to NCR locations including Dadri, Patli and Garhi Harsaru.
The rail link exists. The answer does not.
None of those pages tells Karthik which company can carry his ten containers of polymer granules, what it will charge or whom he should call.
Search finds names but leaves the roles mixed
CMA CGM’s India intermodal page lists a daily Nhava Sheva-Delhi rail service in both directions for its customers. When checked in August 2026, ONE’s India inland-services table listed CONCOR for Tughlakabad and Gateway Distriparks for Garhi Harsaru and Piyala. ONE warns that the table can change without notice.
Those pages answer different questions. CMA CGM and ONE are shipping lines that sell or arrange inland services for their customers. CONCOR and Gateway Distriparks run container trains and inland terminals. DP World handles trains at the port terminal. JNPA describes the port and its rail connection.
He now knows the organisations involved. He still has to find which company will give him a price and handle the full job.
Gateway Distriparks says it runs regular container services from its inland terminals to Nhava Sheva. Its contact page carries separate details for Garhi Harsaru, Piyala and Mumbai. The information is available, but the buyer must match the service page with the right terminal and then find the right contact.
After booking, a customer can track the container. Before booking, the same customer may not know which company to call.
Faster search still gives an incomplete answer
AI can find these pages quickly.
But it can only use the information published on them. If a schedule is old, a contact is missing or cargo acceptance is not stated, AI cannot give Karthik a reliable answer.
A general listing can publish a company name, city and phone number. A load-matching platform can start once somebody posts a load. Karthik’s problem comes before both: he needs to know which company handles the route and cargo before he makes the first call.
If every rail logistics company must solve this alone, each business has to run more than a website. Low-cost hosting can keep the pages online, but hosting alone does not keep company information current or run the intelligence built on top of it.
First, the company needs one organised source of truth for its routes, cargo, terminals, services and contacts. That may be a database or another organised system for storing content.
Someone has to manage its structure and access, review each update, publish it on the website and keep the information used by AI in sync. If the source is a database, this includes database management. In every case, keeping the content current needs both technical and content work.
Adding AI creates another layer. The agent needs rules about which records it can search, which tools it can call and when it must say that a detail is missing. When it chooses and uses one of those tools, that is tool calling. The model then turns the retrieved records into an answer, a step called inference.
For questions about a member, that answer must stay within the information the member has provided. Security, software updates and model costs still have to be managed after the website goes live.
A rail logistics company’s job is moving cargo. It should not have to build and run all these systems itself.
A useful answer depends on current information
Another long list of company names would leave Karthik with the same work. What is missing is one place that connects “Mumbai to Delhi” with the right terminals, companies, current services and contacts.
A useful answer may involve several companies. Karthik may need the company running the container train, an inland terminal or ICD, a transporter for pickup in Taloja and another for delivery in Delhi-NCR. Each handles a different part of the movement.
NH44 Intelligence turns company information into the next call
Karthik’s requirement is only one side of the answer. The other is current information about the businesses that could handle each part of the movement.
When a logistics company joins NH44, it is not added as another name on a list. The work begins by documenting what the company handles and where it operates. If it has little or no digital presence, NH44 builds and maintains one. If it already has a website, the information published there becomes the starting point for its presence in the network.
The member’s services, routes, cargo, terminals and contacts stay together in one maintained record. The same information appears on the member’s website, where NH44 Intelligence answers questions about the business. A visitor can ask what the company handles, where it operates and whom to contact without searching several pages.
Across the wider network, NH44 Intelligence searches the platform’s member knowledge graph, built from current company records. For Karthik’s question, it can recommend businesses by service and region, explain which part of the movement each one handles and say when no member covers a required part.
When something changes, the member sends the new details to the NH44 team in plain language. The team updates the member’s digital presence and company data record.
Behind those answers, NH44 maintains the knowledge graphs and keeps them in sync with that record.
NH44 sets the rules that determine which records each agent can search, which tools it can call and what it must do when information is missing. It also manages the hosting, security, software updates, model settings and inference costs behind each answer.
The member does not need to build an internal technical and content team or coordinate developers, hosting providers and AI vendors to keep all of this running.
Today, those recommendations draw only from businesses already in the network. As companies responsible for the train, terminal, pickup and delivery join and keep their information current, one answer can cover more parts of the movement.
The buyer then deals directly with each company. NH44 does not set the price, accept the cargo or become part of the freight contract. Each company still confirms its schedule and available space.
His original requirement was Mumbai to Delhi. The web broke it into terminal codes, service pages, companies and contact directories.
The knowledge layer keeps current member information together. NH44 Intelligence uses that information to explain which company handles each part and who the buyer should call next.
Once a rail logistics company joins NH44 and keeps its information current, NH44 Intelligence can include it when a buyer’s requirement matches its services.
The train exists. The buyer should know who to call.
Sources (7)
- 1. Rail Connectivity — Jawaharlal Nehru Port Authority , accessed August 2026
- 2. Nhava Sheva International Container Terminal Infrastructure — DP World , accessed August 2026
- 3. Intermodal India — CMA CGM , accessed August 2026
- 4. India Inland Services — Ocean Network Express , accessed August 2026
- 5. About CONCOR — Container Corporation of India Limited , accessed August 2026
- 6. About Us: Rail-linked Inland Container Depots — Gateway Distriparks Limited , accessed August 2026
- 7. Contact Us — Gateway Distriparks Limited , accessed August 2026