Transforming Search Efficiency in the Logistics Industry with Azure AI Search
Challenge
The Challenge: Millions of Files with No Easy Way to Search
Every day, this logistics company needed to locate specific documents among millions of stored files—but had no reliable way to search through them. With data piling up from various back-end systems, accessing the right file quickly became a major operational hurdle.
Their backend operations produced an enormous volume of files daily, such as:
EDI files used for B2B communications
XML files capturing various supply chain events
Logs of requests and responses linked to client activity, orders, or shipment references
These were all housed in Azure Blob Storage, chosen for its scalability. When teams or clients needed access to specific documents, they were forced to:
Manually browse folder structures
Open files individually to identify contents
Match metadata and filenames by hand
Submit IT support tickets just to find the right file
The Challenge: Millions of Files with No Easy Way to Search
Every day, this logistics company needed to locate specific documents among millions of stored files—but had no reliable way to search through them. With data piling up from various back-end systems, accessing the right file quickly became a major operational hurdle.
Their backend operations produced an enormous volume of files daily, such as:
EDI files used for B2B communications
XML files capturing various supply chain events
Logs of requests and responses linked to client activity, orders, or shipment references
These were all housed in Azure Blob Storage, chosen for its scalability. When teams or clients needed access to specific documents, they were forced to:
Manually browse folder structures
Open files individually to identify contents
Match metadata and filenames by hand
Submit IT support tickets just to find the right file
Solution
To resolve this challenge, Enkaytech deployed a robust, intelligent search solution powered by Azure AI Search — Microsoft’s scalable cloud-native search-as-a-service platform.
1️⃣ Bringing Systems Together
We integrated the company’s existing Azure Blob Storage and linked it with a supporting SQL metadata database, all connected to Azure AI Search.
This setup allowed Azure AI Search to:
• Crawl and index every stored file, including EDI, XML, and PDFs
• Analyze the internal content of documents
• Identify and associate metadata like transaction type, client IDs, and timestamps
2️⃣ Intelligent Content Indexing
Azure AI Search became the smart engine behind the scenes — scanning the actual file content rather than just relying on filenames. It built a powerful search index that included:
• Keywords and document text
• Metadata fields customized to their business
• File names and folder locations
This made all types of files — from EDI 214 shipment notices to customs XML messages — fully discoverable.
3️⃣ Intuitive Web Interface
To complete the solution, we developed a modern web-based interface integrated with Azure AI Search. It enabled users to:
• 🔍 Search using terms like PO numbers or customer names
• 📁 Narrow results with filters like file type, status, or date
• 👀 Instantly preview documents
• ⬇️ Download results directly
No more manual digging or long IT wait times — files were now just a few clicks away.
To resolve this challenge, Enkaytech deployed a robust, intelligent search solution powered by Azure AI Search — Microsoft’s scalable cloud-native search-as-a-service platform.
1️⃣ Bringing Systems Together
We integrated the company’s existing Azure Blob Storage and linked it with a supporting SQL metadata database, all connected to Azure AI Search.
This setup allowed Azure AI Search to:
• Crawl and index every stored file, including EDI, XML, and PDFs
• Analyze the internal content of documents
• Identify and associate metadata like transaction type, client IDs, and timestamps
2️⃣ Intelligent Content Indexing
Azure AI Search became the smart engine behind the scenes — scanning the actual file content rather than just relying on filenames. It built a powerful search index that included:
• Keywords and document text
• Metadata fields customized to their business
• File names and folder locations
This made all types of files — from EDI 214 shipment notices to customs XML messages — fully discoverable.
3️⃣ Intuitive Web Interface
To complete the solution, we developed a modern web-based interface integrated with Azure AI Search. It enabled users to:
• 🔍 Search using terms like PO numbers or customer names
• 📁 Narrow results with filters like file type, status, or date
• 👀 Instantly preview documents
• ⬇️ Download results directly
No more manual digging or long IT wait times — files were now just a few clicks away.
Results
The Impact: Instant Results, Tangible Gains
The benefits of the transformation were both immediate and easy to quantify:
⏱️ Search speeds improved by 95%
What used to take minutes now takes less than five seconds—no matter how large the file set.
📉 IT ticket volume dropped by 60%
With the new portal in place, users can independently retrieve files, dramatically lowering support requests.
📈 Complete search coverage
Every single file, regardless of its age or format, is now indexed and instantly retrievable.
🚀 Effortless scalability
As file volume and business complexity grow, the AI-powered search system scales seamlessly—without requiring extra infrastructure.
The Impact: Instant Results, Tangible Gains
The benefits of the transformation were both immediate and easy to quantify:
⏱️ Search speeds improved by 95%
What used to take minutes now takes less than five seconds—no matter how large the file set.
📉 IT ticket volume dropped by 60%
With the new portal in place, users can independently retrieve files, dramatically lowering support requests.
📈 Complete search coverage
Every single file, regardless of its age or format, is now indexed and instantly retrievable.
🚀 Effortless scalability
As file volume and business complexity grow, the AI-powered search system scales seamlessly—without requiring extra infrastructure.