Cognitive Spares
Understand the field failure characteristics, customer install base growth trend, consumption pattern at depot-part level, type of support contracts, and supply chain constraints to recommend spare parts stocking requirements.
Context
The complexity of modern spare parts logistics requires a cognitive approach to balance service levels and inventory costs.
The Spares Challenge
Support teams face a unique challenge of needing to stock spare parts in multiple locations (depots) to satisfy support contract commitments. Depending on the mission critical nature of products, they offer various service levels such as 4-hour, 8-hour, or Next Business Day (NBD) replacement. For global companies, this involves navigating geographically dispersed customers and specific country custom rules when deciding location and quantity.
The Ascendo Solution
Ascendo analyzes field failure characteristics, install base growth trends, and consumption patterns to recommend precise stocking requirements. Planners use these recommendations to determine reorder points (ROP) at the part-location level. The system provides customer SLA risk alerts, detects install base movements, and monitors third-party logistics to ensure proactive planning and procurement.
How It Works
Analyze the impact for changes
Planners can quickly get the entire shortage and surplus impact at any point in time. Ascendo provides the requirements of part by depot along with opportunity for substitution, cost impact, gaps, and additional needs at regional and global hubs.
Address shortage based on priority
Knowing the potential risk and the level of risk allows planners to either move parts from one location to another or find the supplies to solve potential customer risks. Fully transition to proactive support!
Understand the SLA coverage and risks
Logistics operations leaders can understand the potential SLA coverage risk by customer, product, depot, regions. They can guide their planners to take actions to solve coverage issues based on customer and business impact.
