Inaccuracy rate resulting from this manual approach
30%
A Customer Success Story
A leading global logistics provider operates an extensive freight forwarding network with air, ocean, and ground transportation services. The enterprise prides itself on its agility and ability to deliver tailored solutions that meet its customers' ever-evolving needs — from scheduling to budgetary requirements. However, it was experiencing firsthand the impact of data-volume fragmentation, unstructured data, and the burdens of manual data management.
Massive Data Volume → Productivity Loss
Inaccuracy rate resulting from this manual approach
30%
Data trapped in emails, PDFs, Word documents, and spreadsheets
90%
Data existing in unstructured or semi-structured formats
90%
Employee time spent on manual data management
50%
Data Fragmentation → Revenue Loss
The overwhelming volume of manual data tasks consumed valuable employee time and resources, hindering strategic focus.
Inconsistent data and limited visibility obscured accurate demand modeling and pricing strategies.
The manual processes, prevalent across a network spanning 190 major markets, were a major source of inefficiency and operational costs.
Stargo's proprietary suite of AI technologies structures, corrects, and enriches all incoming unstructured and semi-structured data. The Stargo Large Language Model (SLLM) brings a deep, contextual understanding of sector-specific freight and supply chain terminology, while machine-learning GenAI models harness real-time data and industry context — empowering the provider to predict trends, solve problems, and identify cost savings through automated analysis.
Operating across 190 markets on a customized technology stack, the provider integrated Stargo within four non-disruptive weeks. The platform's compatibility with existing systems let the team immediately leverage advanced GenAI capabilities without costly infrastructure overhauls.

Built to fit
Stargo operates as a layer above existing systems like ERP, TMS, and WMS for seamless integration and minimal disruption — regardless of the tech stack.
The Transformation
StarDox standardized and enriched data from all sources — emails, PDFs, shipping documents, and carrier contracts — creating a single source of truth for critical information across sales, procurement, operations, and customs.

27%
Automation freed the employee hours that manual data tasks once consumed, returning focus to strategic work.
4%
Enhanced data accuracy and real-time analytics enabled better pricing strategies and cost management.
5.1%
Improved data insights led to more effective commercial strategies and customer service enhancements.
Data extraction, route optimization, and predictive analysis streamline fulfillment.
AI-powered insights and improved data quality support more effective carrier negotiations.
Real-time data visibility and dynamic pricing models boost conversion rates.
Partnering with Stargo, the enterprise transformed its data management — achieving more efficient operations, better decision-making, and enhanced customer experiences. Stargo's seamless integration empowered the business to embrace advanced technology without disrupting daily operations.
With the success of the initial implementation, the client is expanding its use of Stargo to include: