Inventory optimization with the Q-Foundry model by SOLISTIQ

Our in-house foundation model — Q-Foundry — is the technological heart of SOLISTIQ. It connects internal company data with external market influences to forecast demand precisely and optimize ordering decisions.

The Foundry principle

One model, trained on cross-product data – ready to use instantly for your company

Pre-training phase: cross-product training
Food
Pharma
Textiles
Electronics
Industrial
Beverages
Training the model

Q-Foundry model

Universal AI intelligence – ready for use right away

Deployment in planning
Sales history
Historical demand data
External factors
Weather, holidays, trends
SOLISTIQ

Q-Foundry model

Demand forecast

Demand forecast
Stock & lead times

Optimization Engine

Order optimization

Planning decision
Optimal order quantities & timing

This is what makes a foundation model: Unlike traditional AI systems that must be trained individually for each product, the Q-Foundry model has already been pre-trained on extensive, cross-product data. It has learned from millions of products and demand patterns and can apply this knowledge directly to your company – from day one, with no training phase and no waiting time.

1.2M
items in training

Pre-trained on 1.2 million items from a range of industries

1.1B
data points

The model has learned from 1.1 billion historical forecasts

1 model
Q-Foundry

Ready to use instantly, with no company-specific training

Ready for intelligent inventory management?

Use state-of-the-art AI to optimize your inventory precisely and transparently. We are happy to show you how Q-Foundry does this based on your data.