TOMRA Food (ANZ) Limited
HQ
Leuven, Belgium
NZ Employees
50-100 (estimate, part of 200+ AU/NZ team)
Industry
sensor-based food sorting and post-harvest processing equipment
NZ Presence
Head office at 4 Henderson Place, Onehunga, Auckland; Field Research Centre in Hamilton/Waikato; Research Orchard in Waikato; additional hub in Papamoa; focuses on sales, service, customer support, and R&D for food sorting solutions.
AI Focus Areas
AI Maturity Evidence
Develops proprietary AI technologies integrated into sorting machines since 2019, including LUCAi deep learning models for fruits/nuts, TOMRA 4C AI-powered sorter combining ML and deep learning, publishes AI guides for food industry customers.
Transformation Opportunities
| Area | Opportunity | Impact | Complexity |
|---|---|---|---|
| Operations | AI-driven predictive maintenance analyzing sensor data from deployed sorters to preempt failures | high | moderate |
| R&D | AI simulations and generative design for optimizing sorter hardware and software configurations | high | complex |
| Sales | AI-powered recommendation engine matching customer crop data to optimal sorting solutions | medium | simple |
| Service | AI-optimized technician dispatching and route planning using real-time field data | medium | moderate |
Decision Makers
Paul Slupecki
Head of TOMRA Food APAC / Director
Oversees NZ operations including sales, service, and R&D; strategic leader for regional growth and technology deployment.
Wayne Puckey
Digital Transformation Leader
Leads digital initiatives in Auckland; purpose-driven focus on transformation aligns with AI workflow enhancements.
Nicolaas Marinus Cornelis Buyck
Director
Serves on board of TOMRA Food (ANZ) Limited; influences operational and investment decisions.
Tech Stack Signals
Competitive Landscape
Market leader in sensor-based food sorting; competitors (e.g., Bühler, Key Technology) are rapidly adopting AI/ML for similar applications, pressuring continuous innovation in sorting accuracy and speed.
AIA Fit Assessment
- --Clear NZ operations and R&D presence with growth signals
- --High budget and technical hiring indicate investment capacity
- --However, mature internal AI capabilities in core products reduce reliance on external consulting
- --Enterprise scale suggests preference for in-house development
Hiring Signals
Total Roles
1
Remote
No
Levels
senior
Skills Sought
Company Timeline
First tracked
Engagement Angle
Leverage AI to supercharge your field service operations—predictive dispatching could cut sorter downtime by 30% and boost NZ customer satisfaction.
Recommended AIA Service
Process Automation Sprint