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.

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

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

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.

A simulator about achieving contact center service level targets.

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

Forecasting is the first important stage of workforce management planning. WFM forecastors create the forecast of ,including others, volume of conversations to be expected in some future time. Forecasting future contacts is a difficult task because of the uncertainty associated with the many factors that determine contacts as well as the nature …

A specialised Python automation tool designed to scrape, aggregate, and classify global public holiday data from OfficeHolidays.com into a master .ods spreadsheet.

Schedule redistribution delivered +20.2% service level improvement vs +8.1% from headcount. Five WFM levers tested head to head — no new hires required.

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.