Freight Forwarder

Cava

BPAD (Business Process Automation Discovery) assessment case study. Structured method to analyze internal processes and identify where automation and AI can bring maximum business value.

Cava International
Client

Cava International

Cava International is a Genoa-based company specialized in international shipping and logistics. It offers road, sea, rail, and intermodal transport services (shipments using multiple different transport modes), ensuring fast and secure connections between various destinations in Europe and worldwide.

The Challenge

Identify hidden inefficiencies and transform them into optimization opportunities, reducing costs and times without compromising service quality.

The Solution

BPAD (Business Process Automation Discovery), a preliminary investigation aimed at targeted analysis of business processes from first customer contact to shipment completion, with the following activities and results:

  1. Qualitative interviews with key company figures to capture operational practices, critical issues, and improvement opportunities.
  2. Data collection and analysis related to times, costs, workloads, and performance; definition of any additional key performance indicators (KPIs) useful to highlight bottlenecks and waste within the processes under study.
  3. Review of existing documentation (procedures, manuals, digital tools, and management systems) to align "written" flows with the detected operational reality.
  4. White-boarding sessions (digital whiteboard writing) and collaborative design with internal teams to visualize mapped flows and hypothesize optimization solutions through digitalization, automation, and AI, functional to the "request-closure cycle" perimeter (from request to shipment closure).

Key Features

  • Complete visual mapping of analyzed processes, accompanied by a quantitative reference base (estimates on average times, process costs, and workloads) and reference key performance indicators (KPIs)
  • Summary report of inefficiencies and intervention opportunities, with comparative analysis between current situation and potential future situation
  • Proposal of optimization solutions: for each designed solution, functional description, expected economic benefit analysis (ROI - return on investment), effort level estimate, and implementation complexity indication are provided

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