August 6, 2025

From Bottlenecks to Breakthroughs:
How AI-Powered Data Mapping Transformed a Leading Supply Chain Platform

Key Business Outcomes

01

50% Faster Supplier Onboarding

02

80% Reduced Data Mapping Time

03

100% Compliance Across Systems

About Client

The client is a US-based enterprise software provider specializing in supply chain digitization for large retailers, distributors and suppliers across North America. Their platform enables real-time collaboration across complex, multi-tier supply chains.

As they scaled, the client faced challenges in delivering seamless integrations and rapid supplier onboarding. This was critical to their market differentiation and value proposition.

The Challenges

The Manual process mapping was slowing down the process. Despite being a digital-first company, their internal data transformation processes had not caught up with their innovation goals. They faced issues with:

  • Manual schema mapping that slowed down the operations.
  • High risk of human error in data transformations, threatening data integrity and compliance.
  • Delayed supplier onboarding due to outdated and fragmented processes.
  • Scalability limitations hitting client acquisition and system modernization.

These inefficiencies created mounting operational overhead and impacted on their ability to meet rising customer needs.

The Business Impact at Risk:

Without intervention, the client risked:

  • Loss of competitive edge in a fast-moving retail supply chain tech market
  • Multiplied exposure to compliance risks and partner dissatisfaction
  • Prolonged time-to-value for customers

Results Achieved

  • Real-time, high-accuracy data sharing across all supply chain partners.
  • 80% reduction in time spent on data mapping.
  • Prepared businesses for adopting AI-driven supply chain solutions.
  • 40% lower operational costs due to automation of manual workflows.
  • 100% alignment with regulatory compliance across systems.
  • 50% faster onboarding of new suppliers and legacy system modernization.

Solutions Delivered

Tx implemented a customized approach by leveraging AI, DevOps, and backend expertise to address the client’s unique data integration and scalability challenges. Our solutions addressed supply chain complexity, reduced operational friction, and enabled future-ready digital transformation. We delivered:

AI-Based Automated Data Mapping:

Leveraged AI/ML algorithms to dynamically map source schema to destination schema, accommodating (1:1 and 1: many) with zero manual intervention.

Content-Based Mapping:

Compared data fields based on contextual patterns across disparate schema formats.

Scalability:

Enabled high-volume data mapping for large-scale supply chain systems with complex and variable datasets, enabling seamless integration across suppliers, distributors, and internal systems.

Error Reduction:

Eliminated manual errors, ensuring consistent and accurate data transformation, improving downstream analytics and reporting.

Time Efficiency:

Speed up the data mapping process, reducing the turnaround time for onboarding new suppliers or updating legacy systems.

With Tx’s customized AI-powered automation, the client modernized its supply chain infrastructure, accelerated operations, and built a scalable foundation for future innovation.

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