Perfect Planner: Reinventing Material Planning & Procurement
Perfect Planner, a revolutionary Artificial Intelligence (AI) software, reinvents the field of material planning and procurement in the supply chain. Diverging from conventional Material Requirements Planning (MRP) systems and contemporary supply chain solutions, it introduces a transformative standardization and streamlining of the planning process. This achievement comes from consolidating tasks and data insights into a comprehensive, prioritized to-do list, thereby alleviating the administrative and analytical burdens typically shouldered by material planners and buyers. Crafted by seasoned planners and supply chain leaders with years of continuous industry experience, Perfect Planner serves a variety of industries. It enhances transparency in planning and procurement and supports performance management. The insights presented by Perfect Planner are generated by the platform's proprietary, function-specific AI engine, the Intelliplanning® Logic Engine (IPL Engine), which harnesses advanced AI to execute more than 2,000 logic-driven planning algorithms for each processed Stock Keeping Unit (SKU), securing an accuracy rate exceeding 99%, as validated through beta testing. Committed to delivering substantial reductions in shortages, increased productivity, and optimized inventory levels, Perfect Planner provides a significant Return on Investment (ROI). This paper explores the challenges encountered in material planning and procurement, delves into Perfect Planner's intricate design and functionality, showcases compelling beta testing results, and concludes with a summary outlining future research directions. As a leader in industry automation, Perfect Planner positions itself as a key player in the transformative journey toward full automation.
Authors
- Varun Gupta (ORCID: https://orcid.org/0000-0003-2824-3402)
- T. Beil
- E. Danielov
Publication Details
- Published
- 2024-10-01
- DOI
- https://doi.org/10.21872/2024iise_7546
- Primary Topic
- Public Procurement and Policy
- Type
- article
- Field-Weighted Citation Impact
- 0.00