I have extensive experience with a range of tools and software that are integral to supply chain management and data analysis. These include:
Enterprise Resource Planning (ERP) Systems :* Proficient in SAP, Oracle NetSuite, and Microsoft Dynamics 365 for managing procurement, inventory, and supply chain workflows.
* Example: 'At my previous role, I used SAP to streamline inventory processes, reducing carrying costs by 15%.'
Supply Chain Management (SCM) Software :* Familiar with JDA/Blue Yonder, Kinaxis RapidResponse, and Manhattan Associates for end-to-end supply chain visibility and optimization.
* Example: 'I implemented JDA to enhance demand planning, which improved forecast accuracy by 20%.
Transportation Management Systems (TMS) :* Skilled in using C.H. Robinson Navisphere and Oracle Transportation Management for logistics planning and route optimization.
* Example: 'By leveraging TMS, I reduced freight costs by optimizing delivery routes.
Inventory Management Tools :* Proficient in Fishbowl, TradeGecko, and Zoho Inventory for monitoring and maintaining optimal stock levels.
* Example: 'I used Fishbowl to automate inventory tracking, which reduced stock discrepancies by 10%.
Data Analysis and Visualization Tools :* Advanced skills in Excel (pivot tables, macros), SQL, Power BI, and Tableau for analyzing supply chain data and creating insightful dashboards.
* Example: 'I created a Power BI dashboard to monitor KPIs in real time, helping the team identify issues more efficiently.
Warehouse Management Systems (WMS) :* Experience with systems like HighJump, Infor WMS, and SAP EWM for managing warehouse operations.
* Example: 'Implemented Infor WMS to enhance picking accuracy, improving order fulfillment rates by 25%.
Collaboration and Project Management Tools :* Proficient in Asana, Trello, and Slack for coordinating with cross-functional teams and tracking project progress.
* Example: 'Used Trello to manage supply chain projects, ensuring deadlines were consistently met.
Forecasting and Analytics Tools :* Familiar with IBM SPSS, SAS, and R for demand forecasting and statistical analysis.
* Example: 'Used IBM SPSS to build a demand model, which aligned inventory levels with seasonal demand trends.
