Biztras implemented an AI-powered Supply Chain Analytics solution that provided end-to-end visibility across the procurement lifecycle, enabling real-time tracking, bottleneck analysis, and improved procurement performance.
Biztras expanded its Supply Chain Analytics solution toprovide end-to-end procurement and inventory visibility spanning PurchaseRequisition, Purchase Order, and Goods Receipt (GR) stages. Built on SAP MMdata using a medallion architecture, the solution tracks the completeprocurement cycle time, spend, and SLA compliance, enabling bottleneck analysisacross all stages and predictive insights for proactive procurement andinventory planning.
• Lack of visibility across the fullprocurement lifecycle from PR through PO to Goods Receipt.
• No consolidated view of cycletimes, aging, and spend across procurement stages.
• Difficulty pinpointing where delaysoccur — at requisition, ordering, or receiving stages.
• Inconsistent SAP MM data limitingreliable cross-stage analysis.
• Limited ability to plan procurementand inventory proactively.
• Ingested raw PR and PO data fromSAP MM into a Bronze layer, retaining complete transaction history.
• Standardized statuses, timestamps,and master data in the Silver layer to form reliable PR–PO processrelationships.
• Curated Gold layer datasets withbusiness KPIs and AI/ML-ready features.
• Delivered expanded KPIs includingPR approval aging, PR-to-PO cycle time, PO processing aging, GR aging,end-to-end procurement cycle time, approved PR/PO/GR counts and spend, and SLAcompliance indicators.
• Enabled bottleneck and delayanalysis across PR, PO, and GR stages with SLA monitoring and exceptionreporting.
• Complete end-to-end visibilityacross procurement and inventory receiving processes.
• Precise identification of delays ateach stage — requisition, ordering, and goods receipt.
• Better spend visibility withapproved PR/PO/GR counts and spend tracking.
• Improved SLA compliance throughcontinuous monitoring and exception alerts.
• Predictive insights supportingproactive procurement and inventory planning.
• Lack of visibility across the fullprocurement lifecycle from PR through PO to Goods Receipt.
• No consolidated view of cycletimes, aging, and spend across procurement stages.
• Difficulty pinpointing where delaysoccur — at requisition, ordering, or receiving stages.
• Inconsistent SAP MM data limitingreliable cross-stage analysis.
• Limited ability to plan procurementand inventory proactively.
• Ingested raw PR and PO data fromSAP MM into a Bronze layer, retaining complete transaction history.
• Standardized statuses, timestamps,and master data in the Silver layer to form reliable PR–PO processrelationships.
• Curated Gold layer datasets withbusiness KPIs and AI/ML-ready features.
• Delivered expanded KPIs includingPR approval aging, PR-to-PO cycle time, PO processing aging, GR aging,end-to-end procurement cycle time, approved PR/PO/GR counts and spend, and SLAcompliance indicators.
• Enabled bottleneck and delayanalysis across PR, PO, and GR stages with SLA monitoring and exceptionreporting.
• Complete end-to-end visibilityacross procurement and inventory receiving processes.
• Precise identification of delays ateach stage — requisition, ordering, and goods receipt.
• Better spend visibility withapproved PR/PO/GR counts and spend tracking.
• Improved SLA compliance throughcontinuous monitoring and exception alerts.
• Predictive insights supportingproactive procurement and inventory planning.
The solution empowered the business with actionable insights, stronger SLA compliance, and data-driven procurement planning for greater operational efficiency and inventory control.
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