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Case StudyAI

Production Forecasting — Ice Cream Manufacturer

27%less production waste

Project summary

ss-forecast
27%
less waste
5
models / flavor
7h
planning saved
AI · Case Study
27%

Reduced Production Waste by 27% with Per-Flavor Forecasting

Custom demand models tailored to each flavor's unique patterns.

We helped an ice cream manufacturer dramatically reduce waste by building custom demand forecasting models tailored to each flavor's unique seasonality and demand curves.

Icecream shop owner scooping

The client was overproducing and underproducing across their flavor lineup, leading to significant waste and lost revenue. A single forecasting model couldn't capture the distinct seasonality and demand curves of each flavor.

1

Built a dedicated forecasting model for each individual flavor

2

Evaluated 5 different model architectures per flavor

3

Backtested all models against historical production and sales data

4

Selected the best-performing model per flavor — no one-size-fits-all

Ready to stop leaving money on the production floor?

We build custom forecasting models that fit your products — not generic solutions that miss the nuances of your business.

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27%
Reduction in
production waste
5
Model architectures
evaluated per flavor
7h
Manual planning
time saved monthly

"We'd been guessing for years. Software Sushi built models that actually understand our flavors — strawberry behaves nothing like chocolate chip. We cut waste by 27% in the first season and finally have confidence in our production runs."

RD
R. Delgado
Head of Operations, Ice Cream Manufacturer
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