Dairy products are subject to strict safety regulations in food production, as they must comply with the required certifications and standards.
Use of tanks and transfer pipes
A crucial aspect in the production process of the dairy sector is the verification of tank and pipeline availability. The sedApta scheduling algorithm can manage finite-capacity tanks, modeling the availability of pipelines, including washing and sanitization phases, considering product changes and periods of non-use.
Management of excess received raw materials
The allocation of raw materials across different production sites is a matter of attention too, as one must consider the actual needs of the facilities, storage capacity, the possibility of downgrading and reusing the material, and transportation costs. The planning system is able to readjust production plans based on the actual arrival/availability of raw material.
With the completion of the production process, the work is far from over: in fact, this is the moment when all the more delicate commercial aspects come into play. This involves defining volumes, delivery schedules, price lists, prices, discounts, offers and promotions.
Promotions are marketing activities aimed at stimulating the purchase of a product at a time when normal sales would be lower. Promotions can take various forms, including discounts, special offers, bundles that combine different products at a discounted price, and advertising campaigns. Managing the impact that promotions have on production and procurement is particularly critical for materials and products with short shelf life.
sedApta applies different techniques for promotion management, aiming to help companies improve sales forecasts:
- Analyzing historical sales data to strategically plan promotions;
- Segmenting customers based on their preferences and buying habits;
- Monitoring results to assess the effectiveness of promotions.
Daily Distribution of Demand
The freshness of the product and raw materials requires planning and production with precise logistics, minimizing the inventory volumes of finished products and raw materials at risk of expiration as much as possible.
To achieve this, it is necessary to distribute weekly sales forecasts across the days of the week based on patterns defined according to the product characteristics, the type of demand, and sales channels. By leveraging the artificial intelligence algorithms offered by the sedApta suite, it is possible to automatically calibrate the distribution percentages of patterns based on market evolution.