Jsonify Pilots AI-Powered Data Extraction for a Global Logistics Enterprise

Introduction

Geopost is a leading global logistics provider. In 2025, Geopost partnered with Jsonify to explore how AI-powered data extraction could support its marketing, communications, and sustainability operations. Faced with challenges in tracking competitor claims, updating brand messages across regional websites, and capturing structured data from scattered digital sources, the enterprise team sought a platform that could automate and scale these information-gathering workflows.

Jsonify’s platform—powered by visual-first AI agents—was selected for a three-month pilot to validate its ability to autonomously extract structured insights from unstructured web data.

Use Cases Explored

The pilot covered multiple representative enterprise workflows, including:

• Monitoring product and service claims across local business unit websites to ensure brand consistency and up-to-date messaging.

• Tracking changes to policy documents such as terms and conditions, using automation to alert teams when updates occur.

• Benchmarking competitor claims across public websites and sustainability pages.

• Capturing structured product data from distributed merchant and partner websites.

• Scraping online reviews to inform sentiment analysis and customer satisfaction tracking.

• Extracting sustainability-related KPIs (e.g., emissions goals, ESG commitments) from PDF reports and multi-page documents.

Rather than just serving marketing needs, these workflows reflected the operational complexity of a large enterprise and spanned compliance, sustainability, and partner evaluation functions.

Technical Execution

Jsonify deployed visual-first AI agents capable of:

• Navigating deeply nested websites and finding key documents.

• Reading and interpreting PDF reports and extracting structured data.

• Parsing multilingual content across geographies.

• Delivering data in user-ready formats (CSV, JSON), with integration support for API or webhook delivery.

The platform’s flexibility allowed quick setup of exploratory tasks and recurring workflows, demonstrating the value of agentic AI for enterprise data challenges.

Hands-On Collaboration

Jsonify’s approach included:

• Guided onboarding and user education

• Frequent check-ins and live troubleshooting via Microsoft Teams and email

• Custom workflow design for identified use cases

• Adapting to non-technical user needs through no-code interfaces

The client team appreciated the responsiveness and ability to translate business requests into working automations with minimal handholding.

Outcome & Strategic Value

The pilot successfully demonstrated Jsonify's ability to:

• Handle complex enterprise data extraction reliably.

• Translate vague business needs into automated tasks.

• Support ongoing, real-time data monitoring at scale.

While the client identified some use cases as recurring and others as occasional, the pilot validated Jsonify’s fit for future ad-hoc and high-frequency projects.

Importantly, the pilot sparked new ideas internally. As workflows were demonstrated, additional use cases surfaced—from updating performance dashboards with live competitor data to quality-checking partner communications.

Jsonify remains engaged with the client, sharing product updates and evolving capabilities as the team’s internal AI maturity grows.