About this event
Prove how smarter pallet decisions reduce cost and carbon with data. Join this free, 4-session virtual masterclass to learn how to optimize pallet and truck loads using Cape Pack. Across four hands-on sessions, you’ll work through real scenarios and walk away with measurable savings you can confidently share with leadership.
Most packaging teams believe they already optimize pallets. But without clear data, many decisions are still based on assumptions, leading to shipping air, higher freight costs, and avoidable emissions. This Packaging Masterclass is designed to change that belief.
You’ll see firsthand how Cape Pack helps you:
This isn’t a webinar. It’s a guided optimization experience with real results.
Across four expert-led sessions, you’ll move from awareness to action:
You can bring your own scenario or follow along with the examples we use.
Day 1 – Expert Optimization Lab
Kick off with real-world examples and live optimization.
Day 2 – Stop Shipping Air
Learn how pallet design directly impacts freight cost and CO₂ emissions. Build your baseline pallet layout and uncover where space and money are being lost.
Day 3 – Optimize Every Load
Experiment with alternative cases, stacking options, and constraints. See live how small changes reduce trucks, cost, and emissions — without compromise.
Day 4 – Prove the Impact
Learn how to present your results clearly and convincingly. Build a simple case study using Cape Pack reports to support adoption and decision-making.
This Masterclass is ideal for:
No advanced technical skills required, we’ll guide you every step of the way.
Stop guessing. Start proving.
Join the Packaging Masterclass: Ship More. Waste Less. And turn pallet optimization into a measurable win.
Esko is a global provider of integrated software and hardware solutions that accelerate the go-to-market process of packaged goods.
For each stakeholder in the process, Esko solutions enable them to work efficiently and deliver right-first-time packaging and marketing content on time, every time.