Success story: mastering demand planning
La Linea Verde is an Italian leader in the production and distribution of fresh and ready-to-eat fruit and vegetable products. With a turnover of 340+ million euros, they produce over 2 million units every day across their sites in Italy, Spain, France, and Serbia
LESS DEMAND FORECAST ERRORS VS LEGACY SYSTEM
Enhanced accuracy and a stronger foundation for decision making, thanks to the automatic 52-week rolling demand forecast, with promotional activity factored in automatically.
MORE RESPONSIVE AND 5X MORE DETAILED BUDGET
La Linea Verde has supercharged their budgeting revision, achieving a cleaner and more precise plan, even for long-tail products and clients. All in a format that seamlessly integrates with the financial department process.
PROMOTIONS DECODED, MOVING AWAY FROM BLACK BOX FORECASTING
Transparency is key to improving inter-departmental trust. With Fresh4cast’s cloud analytics, La Linea Verde can delve into their forecast, benchmarking with historical baselines and pinpointing promotion effects.
SINGLE-DIGIT ERROR FOR DEMAND-DRIVEN RAW MATERIALS REQUIREMENTS
The advantage? Streamlined supply chains, reduced Bullwhip effects and a tighter bond between demand and supply.
Planning speed for a responsive supply chain
With Fresh4cast forecasting models and planning tool companies can capture demand trends and solve supply challenges at the speed required by the fresh produce industry.
faster forecast generation
Compared to ERP benchmarks. Let machine learning and models run with high frequency to achieve precision
frequency in planning cycles
The benefit: increased adaptability to ever-shifting market dynamics and a nimbler business operation.
acceleration in plan modifications
The response time versus legacy systems is now fraction of seconds instead of minutes with <0.1 sec / 1000 records
faster BOM algorithm vs legacy systems
Convert million of demand datapoints in minutes to align procurement requirement with the latest market trends
boxes less daily error
The outcome? Reduced waste and a more robust bottom line through our precision-focused approach.
