Circly for producers

Revolutionieren Sie ihren Produktionsplan mit KI.

Accurate demand forecasts for better production planning in a dynamic market environment.

The tool for practitioners in production.

Optimization of production schedules

Optimize your production capacities, setup times, as well as storage and shelf life (MHDs).

Forecasting at the customer level

Create precise forecasts at the item and account level for sales volume and revenue.

Forecasting promotional orders

Predict order quantities during promotional periods for greater flexibility.

Take your processes to a new level!

Already +15% in planning accuracy brings up to +30% EBIT.

Leading manufacturing companies rely on Circly.

Integration made easy

Keep using your existing systems... but with AI Boost.

With Circly you can continue to use your existing systems. Circly can be seamlessly integrated into all current ERP systems in the shortest possible time. No months-long project, no consulting hours or training. Dock & use - done.

Forecasting promotional quantities

Sales forecasting. More precise than ever.

Circly can calculate the impact of promotions based on historical data and predict the product demand for future promotions. It identifies patterns and influencing factors within large datasets that affect sales.

Circly is designed for practitioners and users, no programming skills are required.

Forecasting for large assortments

Accurate predictions at the item and customer level.

Predict sales for each individual customer and each individual item with high accuracy. Optimize inventory management, transportation, and shelf-life management accordingly.

Data Enrichment

Integration of third-party data.

Sales depend to a large extent on factors beyond the company's control. Circly makes it possible to integrate data from third-party sources into the forecast. Meteorological forecasts, public holidays, economic data and more are taken into account to improve forecasts.

In addition, existing data is enriched with third-party data such as weather forecasts from meteorological agencies, holidays, or economic indicators, which are incorporated into the forecasting process.