QuNeva is a web-based workforce management platform for contact centers. It covers the complete WFM pipeline — historical data, volume forecasting, Erlang staffing requirements, capacity planning, shifts and rotations, optimized schedules, and real-time adherence — with agent self-service and a built-in AI assistant.
Yes. QN is the short nickname for QuNeva — the two names refer to the same platform. Searches like "QN WFM", "QN workforce management", "QN system" or "QN tool" all mean QuNeva WFM. The brand name is QuNeva; QN is simply the abbreviation people use to say it faster.
Three things. First, it is built AI-first: QuNeva Assist is a governed assistant wired into the platform's own permission system, so it answers from real data within the asker's scope and can prepare user-confirmed actions. Second, Arabic is a first-class language — complete Modern Standard Arabic UI with native RTL, Hijri calendar and Ramadan-aware forecasting, which traditional suites treat as an afterthought. Third, plans that fit: three tiers from core workforce tools to the full AI suite, priced by team size — no one-size-fits-all enterprise license.
QuNeva comes in three plans: Essentials (the core workforce tools), Professional (the full planning pipeline — forecasting, Erlang staffing, the optimizer, coverage and adherence), and AI Suite (everything, plus QuNeva Assist, guarded actions and AI auto-fix). Pricing follows your team size — contact sales for a quote and a live demo. The WFM calculators and guides on our blog are free for everyone.
Yes, completely. Every screen ships in Modern Standard Arabic and English with native RTL layout, verified page by page down to 375 px wide. The AI assistant also answers in the language you ask in.
QuNeva Assist runs on a closed catalog of tools with per-role permission gates, executed as the asking user. It cannot query anything outside the asker's own scope, and write actions exist only behind an explicit user confirmation. It never invents numbers — answers are grounded in tool results.
From your per-channel volumes and handle times, QuNeva computes per-interval staffing requirements using Erlang traffic models, then rolls them into capacity plans with shrinkage. Forecast quality is measured on elapsed days with MAPE, WMAPE, MAE, RMSE and bias.
Yes. Agents post shift trades that go through approval, request leave and break changes, set shift preferences that feed the optimizer, and join vacation and shift bidding rounds allocated by seniority with fairness caps.
That is exactly where it was born. Forecasting takes Hijri calendar, prayer-time and Ramadan inputs; coverage views carry Ramadan and iftar overlays; weekends are configurable per organization (e.g. Friday–Saturday); and the whole product works in Arabic with RTL.