This digital revolution and its groundbreaking effects on production and manufacturing have transformed supply chains across businesses and industries. Industry 4.0 has not only transformed the structure of supply chains, but it has also changed the way we view supply chains. Industry experts and market analysts have been observing a dramatic shift away from traditional sequential strategy hierarchies.

Hyperautomation is the result of combining process automation with Industry 4.0 technologies. Hyperautomation augments various components of process automation with advanced technologies like robotics, machine learning, and artificial intelligence to automate processes in ways that are more effective and far exceed the capabilities of traditional process automation

A key tool in the data scientist’s arsenal is data visualization, which is typically used to communicate insights and crystallize findings. “Often data scientists are creative in displaying information visually and making the patterns they find clear and compelling. They advise executives and product managers on the implications of the data for products, processes, and decisions,” adds HBR. And this is exactly where design thinking comes in, helping turn complex and incomprehensible data into a clear and clean display that can resonate with the audience.

Diversity, Equity and Inclusion

  • Achieve DEI goals of Diversity, Equity and Inclusion across employee and supplier value chain.
  • Create a DEI strategy for employers to develop best practices and track their progress.
  • Monitor DEI sustainability.

Circularity

  • Develop roadmaps to transform material value chain, advance circular models and minimize waste.
  • Optimize resource utilization in automotive battery circularity.
  • Simulate social risk and strategize to achieve social sustainability in the battery supply chain.

Decarbonization

  • Strategize pathways for Net Zero with our GHG protocol-led Scope 1, 2, 3 CO2e emission inventory tool.
  • Measure current carbon emission and simulate a low carbon roadmap.
  • Make smarter carbon investment decisions.

Green IT and Data

  • Address Climate crisis to meet ESG goals of Green IT and Data.
  • Mitigate economic risk to be LEED certified.
  • Manage Data as the new asset for ESG.

Green Infrastructure

  • Address ecological crisis to meet ESG goals of Green building.
  • Manage financial risk in transitioning to green infrastructure.
  • Strategize to adhere to LEED certification.

Green Sourcing

  • Develop framework and templates in AI/ML platform to meet green sourcing.
  • Assess the opportunities in green sourcing.
  • Devise Sustainability communication to build an ecosystem for green sourcing.

Green Supply Chain and Manufacturing

  • Optimize container features to minimize GHG emission in logistics.
  • Achieve end-to-end visibility assessment to meet sustainability targets.
  • AI-led supply chain simulation.

Benchmarking

  • Defines capabilities with data-driven, AI -led Peer Benchmarking.
  • Transform business while managing financial risk and opportunities.
  • Develop persona-based KPIs and a roadmap to achieve ESG goals.

Materiality and Maturity Assessment

  • Layer your organization’s capability maturity to every material topic supported with algorithmic integrated scores, attributes, ranking and heatmap.
  • Choose from preloaded global frameworks.
  • Collaborate with a spectrum of stakeholders to iterate and finalize.