Inaccuracy rate resulting from this manual approach
30%
A Customer Success Story
Transforming Leading Global Logistics Operations
The Challenge
In 2024, global freight and logistics enterprises face escalating challenges from surging shipment volumes, growing networks, and geopolitical disruptions. A multi-billion-dollar client with operations across 1,000+ international facilities and over 22K global users experienced firsthand the impact of unstructured data — including data fragmentation, manual entry errors, and lost metadata.
Massive Data Volume → Productivity Loss
Data 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
Drowning in Data
The overwhelming volume of manual data tasks consumed valuable employee time and resources, hindering strategic focus.
Revenue Leakage
Inconsistent data and limited visibility obscured accurate demand modeling and pricing strategies.
Operational Inefficiencies
The manual processes, prevalent across a network of over 1,000 facilities, were a major source of inefficiency and operational costs.
The Solution
The Solution
While continuously learning through machine-learning, deep-learning, and reinforcement-learning models, Stargo's suite of AI solutions helped the global logistics provider break free from unstructured and semi-structured data constraints. Stargo's Large Language Model harnesses real-time data to apply deep industry context to data automation — analyzing historical and current data to predict trends, solve problems, and identify cost savings.
The Implementation
Despite the inherent complexities of a global operation handling over 21 million packages daily on a customized technology stack, Stargo's design enabled full integration within four non-disruptive weeks — ensuring compatibility with modern and legacy systems without overhauling existing infrastructure.
Built to fit
System-Agnostic
Stargo operates as a layer above existing systems like ERP, TMS, and WMS for seamless integration and minimal disruption — regardless of the tech stack.
System-AgnosticVersatile Connectivity
The Transformation
Data Enrichment Across the Supply Chain
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.
Data EnrichmentEnhanced ProcurementOptimized Pricing & ProposalsStreamlined Customs Compliance
The Results
27%
Productivity Boost
Automation freed the employee hours that manual data tasks once consumed, returning focus to strategic work.
4%
Margin Improvement
Enhanced data accuracy and real-time analytics enabled better pricing strategies and cost management.
5.1%
Conversion Rate Boost
Improved data insights led to more effective commercial strategies and customer service enhancements.
User Adoption
Operations
Data extraction, route optimization, and predictive analysis streamline fulfillment.
Procurement
AI-powered insights and improved data quality support more effective carrier negotiations.
Sales
Real-time data visibility and dynamic pricing models boost conversion rates.
Proof of Value: 6 Months
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.
Next Steps
Contracted Carrier Buy PricesShipper Price RequestSpot Carrier Buy PricesCommercial Invoices
Single / Multi-Lane Proposals
RFQ Automation