Manufacturing

Manufacturing 

The manufacturing industry is closely linked to the national and international economy. Companies in the sector are going through a difficult period and are facing several problems exacerbated by the global pandemic. Increased competition, shrinking margins, the growing risk of non-payment and insolvency and the continuing decline in productivity place us in high-risk scenario, particularly tough for SMEs.

In this context, predictive analytics models, risk reduction, process automation and the exploitation of new sources of productivity are essential to ensure the competitiveness of the sector. At Bismart, we specialise in the creation of technological solutions aimed at optimizing productivity and efficiency. Moreover, the flexibility and scalability of our solutions allow us to adapt them to the needs and particularities of each company and project.

Key Factors

Financing

Increased risk of non-payment and insolvencies
Delay in the payment of public purchasers
SMEs’ financial weakness
Fall in investment
Reduced margins

Market

Increased competition
Above-average business failure rates
Price fluctuations
Labour shortage

Processes

Activity downturn
Decline in productivity
Lack of communication and collaboration between teams

Technology

Need for tailored platforms to foster internal communication and collaboration flow
Poor digital presence
Low presence of data

What do we offer?

Market

Market knowledge and prediction of future trends through predictive analytics – Kale

Processes

Encouraging collaboration and communication between teams through adapted platforms
Intelligent risk identification models and predictive analytics
Advanced business productivity analysis models
Process automation technologies
Streamlining of methodologies and reorientation of work routines
Assessment of the operational adequacy of internal and external processes
Performance management through risk-based, customer-focused planning and control models

Technology

Improvement of the internal and external user experience
Advanced data analysis and reporting
Digitisation of processes and methodologies and standardisation of all elements involved through adapted interoperability technologies and resources
Backward integration from analytical applications to legacy environments (CRM, employee portal, mediator portal, etc.)