StockIQ is a supply chain planning suite targeted at distributors and manufacturers. With over 20 years in the industry, we know what you need to run efficiently, improve forecast accuracy, and reduce inventory levels, while providing unmatched service level to your customers.We make it easy to plan, forecast, and replenish your inventory. Give us a call!

• Managed port of RockySoft to PlanningEdge, converting legacy Web GUI to Windows WPF GUI and updating existing server technology to suit• Acted as product manager, team lead, scrum master, and individual contributor for small development team creating the new release.• Converted legacy SOAP messaging model to C# API using XML and SignalR• Designed and co-authored new cloud-optimized architecture for SaaS environment while preserving on-prem capabilities.• Designed and built new integration and gateway services for connecting with customer data• Designed and built new interface specifications for allowing customer-created integrations• Continuing in CTO role to position product for new markets and growth as SaaS and Saas-OnPremise model

Creator, developer, product manager, and team lead for enterprise-level supply chain management software package. Developed product through its infancy to current state as technological leader in our space. RockySoft package existed through mid 2015 as a browser-based supply chain planning package. Rebranded to PlanningEdge July 2015 with release of new Windows GUI.• designed and developed unique memory-resident object database for creating supply chain model for unmatched speed. (generate 10,000+ forecasts per second)• created inventory replenishment purchasing tool with industry-unique order targeting functionality.• created supply planning module with vendor scorecard, statistical lead time calculation and prediction• created OLAP cubes for custom analysis of supply chain data such as inventory performance, service levels, fill rates, buyer performance, etc.• designed and developed and refined custom in-house linear regression forecasting model• designed and developed proprietary seasonality detection algorithm with algorithm voting/ranking to determine best-fit.• designed and developed time series covariance analysis with automatic offset and correlation detection for 'demand-sensing' forecast improvement• developed demand profiling detection and end-of-period sales prediction algorithm

Website and database application development for various customers using HTML, Perl, SQL, and ASP.

Creator and webmaster for BeOS enthusiast news/update website. Up to 1M pageviews a month at its peak. Sold in 2001. BeOS was an operating system

Designed or authored several websites for VIN using Perl, ASP, and Microsoft SQL Server to create database served applications. For example, one project was a contest for users to submit a written story to be judged by several judges. A back-end control panel driven by a SQL database tracked the votes cast by each judge.