Today, Supply Chain leaders must integrate into their decision-making a growing number of factors that directly affect operations:

• evolving environmental regulations,
• energy constraints,
• raw material dependency,
• pressure on transport costs
• increasing expectations around transparency.

These transformations require a clear view of medium- and long-term impacts, as well as a structured approach to steering transition pathways. To address these challenges, OneHive developed HiveWay, a proprietary network design tool that enables logistics networks to be modelled, simulated over 3, 5 or 10 years, and assessed from both environmental and economic perspectives. The objective is to help teams make informed decisions based on a realistic, transparent and actionable view of the future.

Embedding ESG into planning: an operational necessity before a strategic one

ESG processes must now be supported by tools in the same way as S&OP or IBP processes. Three core convictions guide OneHive’s approach:

1. ESG planning must become a structured routine, either integrated into existing processes or managed through a dedicated cadence
2. Decision-making must reflect the full range of impacts (costs, emissions, risks and dependencies) not just a financial view
3. Tools must offer tangible improvement paths, relying on simple, actionable levers and reliable projections

HiveWay: a tool to project, compare and arbitrate logistics pathways

Modelling the current network

HiveWay reconstructs the logistics network as it operates in reality: warehouses, capacities, flows, costs and transport mix. The configuration incorporates each company’s business specificities to provide a robust foundation for simulations.

3, 5 and 10-year simulations

The tool allows teams to test multiple growth, reorganisation or transformation scenarios. For each scenario, HiveWay automatically calculates CO₂-equivalent emissions, transport costs and transformation costs, providing a reliable comparative view.

Decision support

Assumptions are transparent and adjustable, enabling operational teams to simulate different levers and measure their impact. HiveWay becomes a unifying decision-support tool, aligning stakeholders around a realistic and sustainable trajectory.

A three-step methodology to secure deployment

1. Modelling the existing network: data integration, constraint configuration and validation of assumptions
2. Simulation and trajectory selection: comparative scenario analysis and arbitration of transformation initiatives
3. Monitoring key indicators: steering emissions, costs and the effective implementation of selected actions

Concrete applications for a sustainable Supply Chain

• Carbon footprint assessment and ESG reporting: consolidation and projection of emissions based on existing data
• Dynamic order allocation: optimisation of assignments to reduce costs and kilometres travelled
• Minimising unsold inventory: integrating unsold probability into planning to limit waste
  
• Warehouse sizing: defining capacity and resource needs based on growth outlooks
• Logistics network optimisation: simulating different network architectures (number of sites, locations, capacities) to identify the most resilient organisation