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Discover how forward-thinking forestry and natural resource organisations are achieving full traceability, meeting global regulatory demands, and setting new industry benchmarks, powered by Deeplai technology.

Timber logging operation in forest - Deeplai customer case studies

Every great partnership starts with
a challenge worth solving

From New Zealand's managed forests to European supply chains, our clients lead their industries because they trusted technology to carry the weight of compliance. Explore their stories.

Case Study #001

From Forest to Data
Automated Log ID Takes Root in New Zealand

When Forest Growers Research Ltd set out to modernise how New Zealand's timber industry tracks individual logs, they needed more than a technology upgrade. They needed a partner who could think at the scale of an entire supply chain.

Case Snapshot

  • Organisation
    Forest Growers Research Ltd
  • Region
    New Zealand
  • Sector
    Forestry Research & Harvesting
  • Focus
    Automated Log Identification
  • Technology
    Dcode · TimberID Platform
New Zealand forest - automated log identification deployment with Deeplai and Forest Growers Research
Deployment site - New Zealand timber harvesting operation. Automated Log Identification Project led by FGR Harvesting Programme Manager Keith Raymond.
Fully Automated Tamper-proof log ID,
zero manual tagging
Real-Time GPS Geolocation + timestamp
at every stage
Zero Paper No physical tags,
no metal staples
Full Chain Provenance authentication
across every touchpoint

The Challenge: A System Stuck in the Past

For decades, New Zealand's forestry industry relied on a deceptively simple solution: a paper tag imprinted with a barcode or QR code, physically attached to each log using metal staples. The approach worked - until it didn't.

Tags were lost in transit. Metal staples corroded or failed under challenging field conditions. Manual attachment created labour costs and slowed operational throughput significantly. And as international regulatory pressure for end-to-end traceability grew sharper, the gap between 'standard practice' and 'fully auditable' was becoming a genuine competitive risk for New Zealand exporters.

FGR's Harvesting Programme Manager, Keith Raymond, understood the industry was overdue for a fundamental rethink, not a patch, but a platform.

The Solution: AI-Powered Identity for Every Log

Deeplai's Dcode technology is a proprietary AI-powered log marking system that assigns each individual log a unique, permanent digital identifier, verified through real-time geolocation and precise timestamps. No paper. No staples. No human error.

The system integrates directly into existing forestry operations, delivering provenance authentication and geospatial traceability at every stage of the wood supply chain - from the moment a tree is felled to its final destination.

Through the Automated Log Identification Project, FGR is deploying this solution across New Zealand's timber harvesting operations, building toward a centralised database that gives every supply chain stakeholder a single, auditable source of truth.

"This partnership aligns with FGR's commitment to fostering innovation and research leadership in New Zealand forestry. Deeplai's vision for AI-powered workflow automation perfectly complements our goals of digital transformation in forestry."

Forest Growers Research Ltd
Deeplai and Forest Growers Research teams at the Automated Log Identification Project launch, New Zealand
The Deeplai and FGR teams at the project launch.
Keith Raymond (FGR), Andrzej Saja (Deeplai), Swapan Chaudhuri (Deeplai).

A Partnership Built for the Whole Value Chain

The collaboration between FGR and Deeplai was founded on a shared conviction: that the future of responsible timber supply must be digital, automated, and fully transparent. FGR brings decades of research leadership and deep operational expertise in New Zealand forestry. Deeplai brings cutting-edge AI software engineering - built specifically for natural resource supply chains, combining machine vision, geospatial intelligence, and blockchain-secured data management.

Company founders Swapan Chaudhuri (CEO) and Andrzej Saja (CTO) bring extensive expertise in business strategy and enterprise software development to the initiative. Their combined experience ensures that the technology is not only technically robust, but commercially practical and scalable for operations of any size across the forestry sector.

Ultimately, the Automated Log ID system will be applied across New Zealand's timber harvesting operations, feeding a centralised database management system that stores log identity alongside all associated data: species, volume, origin coordinates, harvest date, and chain-of-custody records. Every stakeholder in the supply chain, from grower to buyer to regulator, gains real-time access to a verified, immutable record.

The Automated Log Identification Project is more than an operational upgrade - it is a blueprint for how an entire national industry can move from fragile, manual processes to a resilient, digital-first infrastructure. One log at a time.

For more information about the technology powering this transformation, visit the TimberID platform page or explore Dcode log identification technology.

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