Javier Rivera

Role:

• - Tracked and monitored purchase orders, deliveries, and invoicing to verify accuracy and compliance.

• - Managed procurement activities, driving cost savings through strategic sourcing and contract negotiations.

• - Reduced lead times for product deliveries through effective supplier management and communication strategies.

• - Implemented inventory management strategies to maximize product availability and reduce waste.

• - Responsible for sales price determination across different distribution channels using the standard VKP5 tool.

• - Oversaw store demand planning, purchasing, and logistics.

• - Served as the lead consultant for Retail MM‑SD processes, focusing on the end‑to‑end distribution of merchandise from Distribution Centers (DCs) to global regions.

• - Designed, configured, and maintained BRF+ decision tables to automate critical distribution rules—such as allocation logic, block/unblock criteria, and replenishment thresholds.

• - Participated in the rollout of advanced distribution practices for apparel, leveraging ARun (Advanced ATP) to optimize stock assignments and delivery confirmations.

• - Provided post‑go‑live support for new store openings, ensuring seamless integration into the standardized distribution model and resolving MM‑SD/BRF+ issues.

• - Architected and implemented new custom BRF+ tables, enabling dynamic rule changes without code modifications.

• - Contributed to the "UNIVERSE" project, a specialized workflow for delivering consumable store supplies (e.g., paper rolls, labels) using tailored distribution tables and Allocation Runs.

• - Supported business stakeholders in adjacent processes—inventory audits, returns handling, and distribution analytics—ensuring end‑to‑end visibility and control.

• - Reduction in stock-outs, across new store rollouts by fine‑tuning ARun-based allocation parameters and lead‑time settings. Standardized global distribution model, enabling uniform SLAs and reporting via SAP Solution Manager.

• - Reduced support incidents by through

proactive BRF+ rule governance and training workshops.

• - Accelerated consumables delivery, in the UNIVERSE project by integrating consumable logic into existing Allocation Runs, improving store operational readiness by 25%.

• - Improved customer satisfaction by providing personalized assistance and product recommendations.

• - Acted as Master Data Specialist and primary point of contact for all master‑data inquiries, facilitating cross‑functional collaboration between business, e‑commerce, B2B, and IT teams.

• - Designed and enforced rigorous data‑validation processes, ensuring high data accuracy and reliability across SAP AFS interfaces, e‑commerce platforms, and B2B channels.

• - Developed and maintained BRF+ decision tables integrated with master‑data objects (materials, classifications, customer hierarchies) to drive automated business rules for pricing, allocation, and block logic.

• - Oversaw multiple simultaneous data‑migration initiatives—particularly for new SAP rollouts—ensuring seamless cutovers with zero critical data loss.

• - Implemented and managed enhancements in SAP Solution Manager, reducing incident resolution times and standardizing governance workflows. + 20% faster incident resolution: Leveraged SAP Solution Manager best practices to streamline support and root‑cause analysis. + 15% system performance boost: Delivered continuous performance‑tuning initiatives across SAP landscapes, improving batch‑job and interface throughput.

• - Automated rule execution: Integrated BRF+ tables with master‑data change events to enforce dynamic business rules (e.g., auto‑blocking of non‑compliant SKUs), reducing manual interventions by 40%.

• - Global SAP footprint expansion: Extended core SAP architecture into multiple regions, enabling consistent processes and data models worldwide.

• - Standardized data governance: Established master‑data policies, templates, and approval workflows that improved data quality metrics by 30%.

• - Scalable data management: Tested and refined master‑data systems to handle increasing volumes, ensuring readiness for peak‑season demand.

• - Operational efficiency gains: Proactively identified and remediated process gaps in master‑data practices, driving measurable productivity improvements.