Companies/TOMRA Systems ASA

TOMRA Systems ASA

manufacturingmature4/10researched

HQ

Asker, Norway

NZ Employees

144

Industry

sensor-based sorting and collection technology for recycling and food processing

NZ Presence

Significant operations including headquarters for TOMRA Collection NZ in Auckland, main hub for TOMRA Food APAC in Auckland, Field Research Centre in Waikato, and service operations nationwide focused on reverse vending machines and food sorting solutions.

AI Focus Areas

Deep learning for material and food sortingAI-powered reverse vending recognitionMachine learning in optical sorters

AI Maturity Evidence

TOMRA develops and deploys proprietary AI technologies including LUCAi deep learning sorters (since 2019), AI in reverse vending machines for container recognition, and deep learning for waste/metal/food sorting across divisions. Used in products like TOMRA 4C, GAINnext, AUTOSORT. Actively innovating with AI neural networks trained in-house.

Transformation Opportunities

AreaOpportunityImpactComplexity
OperationsPredictive maintenance on reverse vending machines and sorters using IoT sensor data and AI models to predict failureshighmoderate
Data AnalyticsAI-driven insights from collection and sorting data to optimize recycling routes, forecast demand for deposit schemeshighmoderate
Supply ChainAI optimization of parts logistics and inventory for field service across NZmediumsimple

Decision Makers

Paul Slupecki

Head of TOMRA Food APAC

LinkedIn

Oversees Auckland hub, R&D, and tech deployment in NZ food sorting where AI is core

Peter Lamb

VP, Head of Sales TOMRA Fresh Food

Leads sales of AI-integrated fresh food sorting solutions in NZ/AU

Kiri Shuker

People & Culture Manager

LinkedIn

HR lead for NZ ops, potential for AI in talent/ops transformation

Tech Stack Signals

Deep learning AI (LUCAi)Optical and hyperspectral sensorsIoT for machine telemetryAUTOSORT systemsReverse vending machines (RVMs)

Competitive Landscape

Competitors like ZenRobotics, AMP Robotics, Recycleye are advancing AI robotics for sorting, creating pressure for TOMRA to innovate internally and stay leader in sensor-AI integration.

AIA Fit Assessment

  • --Mature AI in products reduces need for external build help
  • --Enterprise scale with internal engineering (hiring sensors eng)
  • --High budget but scaling stage may have internal capability
  • --Opportunities in ops AI but not core transformation need

Hiring Signals

Total Roles

5

Remote

No

Levels

senior

Skills Sought

Systems engineeringSensorsField serviceProject management

Company Timeline

2016-10-01

Acquired NZ-based Compac sorting manufacturer

2022-03-16

First tracked via NZ deposit scheme news

2026-02-08

Jobs tracked, APAC expansion

Engagement Angle

With your leadership in AI-powered sorting products, how are you leveraging AI to optimize internal field service and predictive maintenance for maximum uptime in NZ's upcoming Deposit Return Scheme?

Recommended AIA Service

Process Automation Sprint

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