Data Enrichment for Logistics & Transportation

Data enrichment is the process of taking raw, often incomplete shipping data and turning it into accurate, standardized, and decision-ready information. It involves validating existing details (like addresses), adding missing attributes (like geocoordinates or UN/LOCODEs), and standardizing formats (like converting pounds to kilograms). The goal is to create a single, trusted view of your shipments that all your systems—from your TMS to your WMS—can understand and use effectively.

Poor-quality data is a primary source of avoidable costs and service failures in logistics. Incomplete or inaccurate information leads to failed deliveries, shipping delays, and costly rework. By enriching data upfront, you protect your margins and service levels. Clean, reliable data ensures that route planning, customs documentation, and customer communication are precise, which strengthens your entire supply chain.

Data enrichment directly reduces costs by minimizing errors and manual work. Key benefits include:

• Fewer failed deliveries by validating addresses and locations before dispatch.
• Reduced manual data entry by automatically extracting and structuring information from emails, PDFs, and spreadsheets.
• Faster documentation prep with auto-filled, accurate fields for customs and booking.

Eliminating repeated corrections by standardizing data once and sharing it across all your planning, scheduling, and finance workflows.

A common use case is processing transport orders that arrive via email. For example, a freight forwarder receiving hundreds of orders daily can use Shipix to:

• Parse PDFs and email bodies to extract shipper and consignee details.
• Correct and verify addresses, adding precise geocodes for routing.
• Normalize units, such as weights and pallet counts.
• Add crucial codes, like UN/LOCODE, ISO, and HS codes, to streamline booking and customs.
• Flag missing references before an order is created in their TMS.

This transforms a manual, error-prone process into an automated workflow that prevents pickup failures and speeds up operations.

Shipix uses purpose-built AI to read and understand unstructured logistics data and output clean, standardized records. The process involves several key steps:

• Verification: Checking fields like addresses, company IDs, and SKUs against trusted sources to ensure they are accurate and up-to-date.
• Supplementation: Adding missing context like geocoordinates, facility service hours, or special access notes.
• Integration: Consolidating data from various sources (email, APIs, ERPs, telematics) into a single, reliable dataset.
• Standardization: Normalizing units, date formats, currencies, and industry codes so all systems can interoperate smoothly.

Continuous Improvement: The AI learns from exceptions and user feedback to become more efficient over time, reducing manual intervention as you scale.

Enriched data helps you deliver a "first-time-right" experience. By validating delivery addresses, time windows, and access constraints upfront, you significantly reduce the chance of missed appointments or delays. This means fewer "Where is my order?" calls and a more predictable, reliable service for your customers. Providing accurate ETAs and responsive notifications, all powered by clean data, helps drive customer loyalty and referrals.

Shipix is designed for rapid implementation. You can connect your TMS, WMS, or ERP systems in days, not months. Simply start with your current workflow—whether it's emailed orders, PDF tenders, or spreadsheets—and let Shipix turn that unstructured information into clean, enriched, and book-ready data that flows directly into your core operational tools.