Profitable Services
Arno Eussen is an entrepreneur and transformation leader with over 25 years of experience building, scaling, and exiting technology-driven businesses. He has successfully founded and sold multiple software and services companies and has a proven track record in transforming traditional organisations into scalable, data- and technology-driven business models.
↗ Website
Contact: a.eussen@profitableservices.com
Vertical focus
The primary focus is on sectors where:
processes are complex
margins are under pressure
speed and operational efficiency are critical
In particular:
Fresh produce (AGF)
Floriculture / horticulture
Trade & supply chain-driven organisations
Wholesale / distribution
Manufacturing
These sectors are characterised by:
high error sensitivity (margin leakage)
heavily manual processes
limited digitalisation
fast decision-making at board level
Offering
In collaboration with Lleverage, Arno helps organisations realise concrete value from AI, not purely from a technology angle, but from a business impact perspective. His approach always starts with the business:
identifying margin leakage and inefficiencies
translating strategy into concrete use cases
prioritising based on impact and feasibility
From there, together with Lleverage:
AI use cases are defined
workflows are automated
AI agents are developed and implemented
Examples include:
order processing and error reduction
pricing and margin optimisation
supply chain decision support
automation of repetitive commercial processes
Way of Working:
Discovery & diagnosis — Analysis of processes, data, and bottlenecks
Proof of Concept (use case design) — Identification of high-impact AI applications
Build & implementation — Development of workflows and AI agents with Lleverage
Adoption & scaling — Embedding in the organisation and continued development
In this process, Arno acts as: a bridge between management and technology, a sparring partner and interim internal project lead, and the person accountable for results and implementation.
Case study
Reducing margin leakage in a trading organisation
Situation: A trading company in fresh products was experiencing structural margin losses due to:
manual order processing
errors in pricing and agreed terms
lack of visibility into deviations
Approach:
Analysis of the order-to-cash process
Identification of the primary leakage points (pricing, data entry, deviations)
Development of AI-supported controls and workflows
Solution:
Automated validation of orders and prices
Alerting on deviations
Dashboard for real-time margin visibility
Results:
Significant reduction in errors
Improved margins
Reduced reliance on manual controls
Faster decision-making