More democratic and accurate decisions
The goal of supply chain management (SCM) is to get goods from point A to point B and into the hands of the customer when they need them. A whole range of issues crop up along the way, whether it's a lack of critical parts, labor shortages, or sudden shifts in consumer behavior that make forecasts obsolete. But transparent analytics across the entire supply chain help spot these disruptions early and solve problems at speed.
Removing business and data silos and sharing insights at every point of the supply chain will build agility and resilience, even during rapidly changing circumstances. But despite these advantages, only 36% of companies currently describe their supply chain as having achieved external integration or end-to-end control.
Even digitally advanced supply chains currently struggle to operate as a single, connected ecosystem. Workers often focus on their own functional goals rather than having KPIs that support the entire value chain.
However, investing in an augmented intelligence approach transforms supply chains into true competitive differentiators. By sharing data, insights, expertise, and digital assets, operations and decision-making become democratized and optimized.
For example, a production team may have a frozen, four-week horizon for manufacturing a certain product. If the sales team asks it to speed up production to fulfill demand from its biggest customer, the teams can agree to change the operational plan if they both know manufacturing capacity and the impact on other customers.
Across the supply chain, employees become invested in outcomes, rather than just their own responsibilities. And leaders, freed from having to be involved in every decision, can focus their attention on embedding analytics insights into decision-making and managing change.