Case Studies
Integrating promotional planning with sales forecasting
An integrated planning platform helps a leading dairy company turn marketing, promotional, and pricing decisions into a single sales forecast.
96 results
Using predictive analytics to improve retail promotion planning
LTPlabs helped a consumer goods company optimize promotions with predictive analytics, improving forecast accuracy by 50% and supporting better planning decisions.
Bringing promotional planning into one analytical cockpit
A food manufacturer replaced scattered spreadsheets and reports with a single process to plan, record and evaluate its promotions.
Turning cheese production planning into a daily optimization process at Grupo Lactogal
An integrated daily planning process increased service levels by 10 percentage points and connected production and transfers across Lactogal’s dairy network.
Improving paper production efficiency through integrated planning
An integrated planning application to coordinate decisions across paper machines and converting operations. The proposed plans increased the effective production rate by up to 2.3 percentage points and reduced setup time per tonne by up to 51%.
How a luxury fashion retailer quantified the customer value of a new warehouse
A predictive model and scenario simulator helped a global luxury fashion retailer assess how a different supply chain setup could influence demand and customer lifetime value.
Turning powder allocation into a data driven production decision
A consumer goods manufacturer used machine learning, a digital twin, and real-time data to optimize powder distribution across seven production lines.
Improving bus terminal capacity and passenger experience through simulation
Scenario simulation helped a major metropolitan bus terminal quantify operational capacity, compare bay allocation strategies and assess its ability to accommodate future demand.
From Waze alerts to actionable intelligence: detecting road incidents 48% faster
Turning crowdsourced alerts into a reliable source for faster, broader road network monitoring
Reducing back office workload by up to 30% with AI and intelligent automation
An automotive group analyzed dozens of back office processes across multiple teams to identify where AI, intelligent automation, and platform integration could reduce manual workload and improve operational efficiency. The assessment identified potential to reduce workforce up to 31%, with an estimated impact above 1M€.
