ketteQ Service Parts Planning

Streamline parts management with AI-driven adaptability to maximize efficiency and minimize delays

Service Parts Planning

ketteQ’s Service Parts Planning solution, powered by the patent-pending PolymatiQ™ solver, provides  end-to-end forecasting, approved supplier list (ASL) management, level setting, and order planning to ensure your service parts are always where they need to be—whether at distribution centers, remote field locations, or mobile stocking locations like aero, truck, and car stock. With AI-drivent real-time adaptability, ketteQ dynamically responds  to demand fluctuations and operational disruptions, ensuring seamless parts availability across the service supply chain.

ketteQ’s Service Parts Planning solution, powered by the patent-pending PolymatiQ™ solver, provides  end-to-end forecasting, approved supplier list (ASL) management, level setting, and order planning to ensure your service parts are always where they need to be—whether at distribution centers, remote field locations, or mobile stocking locations like aero, truck, and car stock. With AI-drivent real-time adaptability, ketteQ dynamically responds  to demand fluctuations and operational disruptions, ensuring seamless parts availability across the service supply chain.

With ketteQ's service parts planning software, you can achieve desired service levels, maintain optimal fill rates, and increase customer satisfaction, all while ensuring availability, efficiency, and budget alignment across your entire service supply chain.

Our Features

Statistical Forecasting with Best-Fit Analytics

Automatically apply the most accurate statistical forecasting method, including those for sporadic demand, at any level of hierarchy across multiple demand streams while projecting associated no-fault-founds (NFFs), returns and repairs considering all lead times, repair and return wash rates.

Forecasting with Install-Base, Failure Rates or by Event

Generate leading indicator forecasts by install-base, contract, MTBF, MTBR, MTBUR, or by your specifically defined events enabling forecasting demand with little to no prior demand history. As demand history is gathered, the system will begin to learn, and rates can start to be automatically calculated.

Causal Forecasting

Incorporate out-of-the-box external variables such as government policies, economic conditions, and industry indicators into demandforecasts to improve accuracy by automatically accounting forcausal factors at variouslags that may have a correlation with your demand.

Authorized Stocking List (ASL) Generation

Automatically generate ASLs for all parts and locations based on demand patterns, Parent analysis, or custom custom-configured methods like number of hits or time between occurrences.

Trigger-Based Inventory Level Generation

Automate the calculation of inventory levels such as ROP, RROP, EOQ, REOQ, SMAX and RMAX based on part attributes and segmentation, considering lead times, taking into, costs, vendor price breaks and stocking strategies.

New Product Launch and End-of-Life Planning

Confidently plan new product introductions and end-of-life inventory withhistorical data, market trends, failure rates, like products and parts, and sales forecasts into the planning process.

Safety Stock Optimization

Calculate optimal safety stock levels to buffer against variability, ensuring part availability while minimizing excess inventory, includingcomplex part chaining.

Multi-Echelon and Multi-Item Inventory Optimization (MEIO)

Manage inventory across multiple locations, segments and product categories, optimizing stock levels at each echelon in your supply chain for maximum availability while balancing budgetary considerations.

Trigger-Point and Time-Phased Order Planning

Automate all supply orders for procurement, repair, replenish and balancing across the entire supply chain from Distribution Center (DC) to Fields Stocking Locations (FSLs) with both trigger-point and time-phased planning by segment.

Rotable Pool/Exchange Planning

Automaticallysize rotable pools and align operations for  internal or external repairs only buying new when the existing sources of supply are insufficient considering repair, return, no-fault-found (NFF) lead times, scrap rates and current and due-in inventory.

Smart Supply Order Planning

Make smarter decisions on whether to buy new, replenish, re-balance, de-manufacture or repair existing parts based on factors such as geography, segment, price, need date, and criticality.

Complex Part Chaining

Manage all aspects of part replacement chains, including demand forecasting, sourcing strategies and the use of good and bad inventory.

Scenario Modeling and Management

Develop and evaluate different inventory strategies through hierarchical scenario modeling, allowing you to choose the most effective approach based on your business goals and market conditions.

Inventory Monitoring and Configurable Alerts

Real-time inventory monitoring, including inventory levels and rotable/exchange bank health as well as all other aspects of service parts planning with out-of-the-box configurable alerts to notify of potential issues before they disrupt operations.

Our Benefits

Improved Part Availability and Fill Rates

Ensure parts are consistently available at the point of need, minimizing delays and reducing costs.

Increased Customer Satisfaction and Sales

Boost service levels and drive sales growth adapting automatically to disruptions.

Lower Expediting Costs

Reduce the need for urgent repair, replenishment and procurement orders with better planning and visibility and by taking all sources of supply into consideration.

Reduced Obsolescence

Minimize excess and obsolete inventory by optimizing stock levels and implementing smart replenishment strategies.

Increased Productivity

Automate all aspects of service parts planning to improve operational efficiency, freeing your team to focus on more strategic activities.

Lower Inventory Costs

Streamline inventory to cut unnecessary costs while maintaining higher service levels.