CAMST

CAMST - Soc. Coop. a r.l., is one of Italy’s largest benefit corporation catering and facility management providers, investing in their people and expanding their services to create more care, quality, efficiency, and choice for their customers.

For over 75 years, Camst has been providing catering services to schools, businesses, and healthcare facilities. They prioritize food safety and people’s well-being, offering tailored and high-quality menus. Their commitment extends to ensuring the safety of meals in various settings.

Camst also takes care of environments and spaces. Their services range from general facility management to industrial cleaning, energy management, maintenance, environmental contamination control, and qualification activities.

Challenge

CAMST, a leading player in the catering and facility management sector, is continuously engaged in a comprehensive analysis of tender documents (incl. analysis of market areas, competitors, and other parameters to guide better strategic decisions). The issue is the significant effort required in analyzing and classifying the tender award criteria— both in terms of the quantity (e.g., man-hours, number of documents, etc.) and quality (e.g., difficulty in analyzing competitors' strengths). CAMST seeks to develop a software tool (using Big Data, AI or others) that can analyze all tenders documents (official documents, technical proposal, economics proposal, tenders reports, …) especially in Italy: the solution should advice how to classify the award criteria that are rewarded in the tenders by evaluating the type of tender, internal capabilities and responses from competitors. This means creating an evaluation framework based on pre-established KPIs to identify the tenders topics where CAMST is strongest and in which one is most lacking, with an additional focus on the economic values. The output should be measurable and compare data on which to outline future commercial choices.

The solution might also include semantic analysis to enhance the completeness and accuracy of the analysis.

Objectives

• Scouting a software solution (e.g., Big Data and AI) for the systematic analysis and classify the tender award criteria and to increase commercial opportunities

• Looking for solutions with TRL 7 - System prototype demonstration in a space environment

• CAMST is interested in collaborating with startups/scaleups to co-develop a PoC or to launch pilot projects together