Marginpar has grown unique cut flowers for more than 30 years, with over 100 summer flower varieties known for originality and quality. Own farms in Kenya, Ethiopia, Tanzania and Zimbabwe let the group grow year-round across very different climates.
“Lima has helped is in understanding that accurate forecasting is absolutely key, and that it can be done in a scientific way”
The situation
Marginpar runs a demand-driven model and keeps investing in innovation, from its own digital experience platform to AI imaging for crop monitoring. Production has to follow what customers actually order.
The challenge
A demand-driven model only works with accurate forecasts, and those forecasts had to hold across several countries, dozens of varieties and very different growing conditions. The team needed one structured, scalable way to produce them.
How Lima came in
Lima introduced snapshot-based automated forecasting across every variety, moving the team off manual estimates and onto a consistent, data-led method they could repeat every week.
The results
- 90% forecast accuracy across varieties
- Supply and demand far better aligned
- Fewer forecasting errors and less operational overhead
- Higher revenue and more efficient resource planning
- A reliable forecasting layer under the wider innovation roadmap
Over four years of working together, Lima has become a trusted partner in scaling Marginpar's demand-driven ambitions.
