wfm

SDR collection

Parser for Tektronix WFM v.2 binary files

.wfm to .pcap decoder

High performance SDR band scanner - detects, demodulates, and records radio transmissions automatically with CTCSS/DCS detection, three-layer noise rejection, and broadcast-standard metadata.

This app was developed using Shiny package. It can be used for workforce management purposes for small and medium size call centers of similar purposes. The app has a page for schedule view, another for the coverage view per market and per channel, and another two pages for submitting preferences and viewing team schedule for the selected day ra…

🎉 Raincatcher WFM, Angularjs and Apache Cordova based framework

Plan the day. Replan the hour. Open-source intraday capacity control plane for contact centers, schools, and corridor ops.

A UI based folder locking system for Windows 10/11.

Governed AI decision intelligence for omnichannel workforce forecasting, capacity planning and scenario analysis.

Interval level forecast, actuals, reforecast and staffing gap analysis for contact center WFM.

Power BI dashboard for workforce analytics, agent performance, adherence and absenteeism tracking

Interval-level WFM forecasting exposing the aggregate trap: total staffing within ~2% of requirement, yet 53% of intervals understaffed. Erlang C, shrinkage modeling, FTE gap analysis in Python.

Full (ALL members included) Tektronix WFM v3 C headers and Python bindings

An unofficial, community-built API explorer for UKG Workforce Management.

A reusable automation engine that connects Google Docs or Word templates with spreadsheet data to automatically create formatted email drafts. Made for teams who want to stop manually copying and pasting recurring emails without giving up control over their templates or code.

A simulator about achieving contact center service level targets.

Browser-only contact center WFM workbench: interval volume forecasting (seasonal average, Holt-Winters, harmonic regression, ensemble), rolling-origin backtests, and Erlang A/C staffing with live what-if scenarios. No backend.

The following repo is created to understand a multi-channel contact center performance, basing in some files with measures across agents, teams and channels.

A capacity planner for customer support. Sweep AI coverage, watch the human floor and blended cost per contact move. A what-if simulator, not a forecast.