Analytics by kaizen

Analytics by Kaizen

We tackle complex efficiency and decision-making challenges

Explore our data analytics solutions

  • Informative dashboards that rely on transparent business KPIs.
  • Advanced analysis, free of human bias, using state-of-the-art models and statistical methods.
  • Decision-making supported by analytical solutions, modeled on dynamic interfaces for quick scenario testing and impact assessment.
  • Forecasting business trends and possible issues.
  • Data-driven strategic planning.

  • Real-time rescheduling when facing unexpected factors/peaks.
  • Forecasting analytics to detect potential new skills and people requirements.
  • Individual team member load vs. capacity leveling.

  • Automated planning based on accurate needs and complexities, leading to a new decision-support paradigm.
  • Online recalculation of the solution when incorporating a new order or equipment.
  • Complete integration with existing ERP and MES systems, avoiding the need for manual importation and exportation of information.
  • Business intelligence tools, such as dashboards that support the decision-making process while easing the verification of the impact and control of the production process.
  • Monitoring and interface solutions that enable visual control, using tools like Gantt charts, to oversee the production of each piece of equipment and track key process indicators.

  • Balanced utilization of warehouse space and reduced displacement.
  • Leveled team dimensioning according to workload.
  • Sharper selection of picking methodology.
  • Effective stock management policy.
  • Better service level and lower stock levels.

  • Effective asset management enabled by a system based on advanced data collection and processing. It allows teams to:

    • Reduce downtime and maintenance time.
    • Define efficient maintenance strategies.
    • Define intervention priorities.
    • Decide how and when to replace assets.
    • Predict the costs and evaluate the risk associated with the assets.
    • Monitor performance in real-time and anticipate intervention needs.
    • Understand the total costs to be allocated to assets.
    • Undertake a systematic approach to asset management.
    • Choose the appropriate assets for a given use.

  • Digitalization processes, supported by advanced optimization and advanced data analytics tools, enable teams to:

    • Reduce planning time.
    • Reduce costs and standardize operations.
    • Reduce the potential for error and anticipate problems.
    • Define the most appropriate distribution model.
    • Have a decision support system regarding the geographical definition of the network.
    • Forecast transport needs.
    • Visualize and control the entire operation.
    • Better manage transport resources and customer relations.
    • Make decisions in real time.
    • Optimize fuel and maintenance costs.
    • Reduce the carbon footprint – contributing to greater environmental sustainability.

  • Segmenting customers.
  • Optimizing customer lifetime value, as well as analyzing the churn rate.
  • Monitoring the planning execution to access more accurate data and manage the client’s lead time.
  • Defining the best pricing strategy.
  • Identifying and assessing consumption patterns to target supply.
  • Defining the best marketing mix.
Analytics by kaizen

Our industries

Construction

Construction

Transportation & Storage

Transportation & Storage

Manufacturing

Manufacturing

Retail & Wholesale

Retail & Wholesale

Utilities

Utilities