Transforming Field Asset Data into Operational Intelligence
Our Clients
Engagement Overview
One of North America’s largest propane distributors manages a network of more than 800,000 tanks across a broad geographic footprint. Accurate asset information is critical to field operations, compliance, inspections, service planning, and overall business performance.
To improve inventory visibility and operational efficiency, TechBlocks developed a custom-build solution: AiM Field Intelligence, an Asset Inventory Management platform. Leveraging AiDE (AI-native Delivery Engine), TechBlocks orchestrated specialized delivery pods focused on AI, data, product engineering, and field operations to transform how tank assets were identified, validated, and managed across the enterprise.
Key Challenges
Maintaining accurate visibility, traceability, and control across more than 800,000 propane tank assets was essential to the organization’s ability to operate efficiently, remain compliant, and serve customers reliably.
Gaps in asset tracking and management created downstream challenges across logistics, truck routing, capacity planning, compliance, delivery operations, and customer service, increasing operational complexity and limiting efficiency across the business.
Significant Gaps Existed in Tank Inventory Data
An estimated 30% to 50% of tank assets lacked complete or validated inventory information, making it difficult to maintain accurate asset records, improve inventory visibility, and support compliance activities across a large, distributed field network.
Manual Tank Data Collection Created Operational Burden
Field technicians manually captured tank plate information, serial numbers, manufacturer details, specifications, inspection results, and asset condition data during onsite visits. The process was time-consuming, inconsistent, and highly dependent on field conditions.
Data Quality & Validation were Difficult to Scale
Manual transcription, duplicate entry, and inconsistent validation processes increased the risk of incomplete records, duplicate assets, reporting inaccuracies, and compliance exposure.
Remote Field Environments Limited Operational Efficiency
Technicians frequently operated in rural and low-connectivity locations where traditional digital workflows were difficult to deploy consistently, creating delays in asset updates and reducing confidence in inventory accuracy.
Approach & Solutions
TechBlocks established AiDE-powered orchestrated pods focused on creating AiM, a scalable asset intelligence platform capable of transforming physical asset data into operational intelligence. Leveraging AiDE’s delivery framework, teams combined domain expertise, AI-native engineering practices, governance controls, and outcome-based measurement into a unified delivery model and created a scalable foundation for operational intelligence across North America.
1. AI-Powered Mobile Field Capture
AiM transformed how field technicians collect and submit asset information in challenging real-world operating environments.
- Enabled technicians to capture tank plate, label, inspection, & asset images directly from mobile devices
- Supported offline & low-connectivity environments to ensure uninterrupted field operations
- Standardized asset inspection & inventory workflows across distributed field teams
- Eliminated paper-based processes & reduced manual data entry requirements
2. Intelligent Data Extraction & Recognition
AiM leveraged AI, OCR, and computer vision technologies to convert physical asset information into structured digital records.
- Automated extraction of serial numbers, manufacturer information, specifications, & asset attributes
- Applied OCR, Vision AI, & template recognition to process diverse tank plate formats
- Trained models against more than 10,000 plate layouts & variations
- Achieved greater than 90% data extraction accuracy across field conditions
3. Automated Validation & Quality Management
The platform introduced intelligent validation workflows to increase trust, accuracy, and consistency across asset records.
- Applied confidence-based scoring to assess extraction quality automatically
- Routed low-confidence submissions through human-in-the-loop review workflows
- Enabled validation, correction, reprocessing, & duplicate record management
- Improved data quality while reducing manual review effort & operational delays
4. Enterprise Asset Intelligence at Scale
Impact & Results
Through AiDE’s AI-native operating model, the client successfully scaled AiM from a field data capture solution into an enterprise asset intelligence platform.
By orchestrating data capture, validation, reporting, and governance within a single ecosystem, AiDE enabled the organization to improve data quality, reduce manual effort, and accelerate field operations across more than 800,000 assets, with a path to support over one million assets across the U.S. and Canada.
Assets managed through AiM
Created a trusted digital asset intelligence foundation across North America.
Reduction in manual data entry time
Reduced administrative burden and improved workforce productivity.
Reduction in processing time
Accelerated the creation of trusted operational records from 45 minutes to under 5 minutes.
Increase in processing throughput
Enabled more inspections and asset activities without increasing headcount.
Data Extraction Accuracy
Improved inventory quality, compliance readiness, and decision-making confidence.
Improvement in Complete Tank Records
Increased visibility into field assets and inventory status.
Reduction in Duplicate Records
Improved data quality and reduced remediation effort.
Prove the impact of AI-native delivery
The AiM Field Intelligence platform demonstrates how AI can create value beyond workflow automation. Powered by the AiDE AI-Native Delivery Engine, AiM combines intelligent field capture, AI-powered extraction, validation, and enterprise integration to transform asset data into trusted operational intelligence at scale. As the platform evolves, it provides a foundation for future compliance, maintenance, and inspection innovation.
AiDE enables organizations to move beyond isolated AI adoption by combining AI-native engineering, governance, operational visibility, and measurable business outcomes into a unified delivery model. Through the development of AiM, the organization demonstrated how AI can deliver tangible operational impact, improve data quality, accelerate decision-making, and create sustainable enterprise value at scale.
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