Transport & Logistics

Transport & Logistics 

The transport and logistics industry is experiencing a transformation driven by a shift towards digitalisation and the rise of customer-centric strategies. Companies in the sector must maximise their efforts to deliver quality services and experiences to their customers as well as find innovative ways to optimise their operations. In this respect, investment in strategic technologies that contribute to supply chain augmentation, process and operations optimisation and predictive analytics is essential.

Key Factors

Market

Higher transport and shipment cost
Internationalisation and relocation

Client

Transformation towards customer-centric business strategies
Evolution of touch points and communication channels
Demand for transparency and improved customer communication
Progressive need to acquire deeper knowledge about the customer
Increasing emphasis on the shopping experience

Processes

Need for real-time inventory management and control
Urgent need for advanced supply chain forecasting
Need for centralised systems and management of delocalised supply chains
Demand for more efficient transport and shipping systems
High risks in case of technical failures or supply chain failures
Transformation of production towards demand-driven planning models

Technology

Digitisation of processes and operations
Requirement for process automation and digitisation
Artificial intelligence implementation
Need for knowledge, insights, and hypothesis testing through data analysis
Need for technological transformation (advanced data analysis and reporting)
Increased investment in R&D

What do we offer?

Market

Market research: data analysis and market insights – Kale
Predictive analytics: demand and market trends forecasting
Differentiation strategies – Kale
Indicators & Dimensions Definition Tool

Client

In-depth knowledge of the customer portfolio, their behaviour, needs and consumption habits through advanced data analysis and customer analytics based on insights – Kale
Enhancing customer experience in the digital ecosystem – Kale
Omniexperience strategies – Kale
Touch points optimization and adapting the customer experience to the channel – Kale
Customer satisfaction analysis – Kale
Data sharing across the supply chain for greater levels of transparency

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.)

Technology

Digitisation of processes and operations
Automated data analysis tools to optimise resources, and efforts and improve productivity
Data compliance, data governance and data quality strategies