Forecasting that doesn’t need a PhD to trust
Right-size staffing across in-house, outsourced, and AI-automated support — with forecast models that work out of the box, or plug in your own.
50% less time spent on forecasting — Typeform
Teams do better with Assembled
“Before, we could see case counts and forecast off of that, but handle time was all over the place, so we did manual overrides often. Now with the Case Lifecycle insights, we can see which team did the work, how long the work took, and assign that handle time data to the right team and queue.“
“In other WFM systems I used, the accuracy hovered around 80%. With Assembled, the forecast was so accurate that I didn’t need to spend time importing a daily forecast in the tool anymore. I trust what I see - at least 90% if not higher. And in terms of time saved, I spend 50% less time on the forecasting piece than I did previously.“
We understand forecasting headaches
Kept strictly to what the forecasting page actually claims — no scheduling, adherence, or vendor-management capabilities pulled in here.
The problem | How Assembled fixes it |
|---|---|
| You need a data scientist just to get a usable forecast out of your current tool. | Accurate, out-of-the-box forecast models work immediately — or import your own via API or CSV. |
| Black Friday, a product launch, or a marketing campaign throws your forecast completely off. | Account for seasonality and business-specific patterns, then make manual adjustments in minutes when the unexpected happens. |
| Email backlog builds up quietly until it’s a full-blown SLA miss. | See historical and projected email backlog before it becomes a problem, with SLA calculations that account for backlog and business hours. |
| When leadership asks “do we really need 5 more agents,” you don’t have the data to back it up. | Clear, channel-level staffing requirements give you data-backed answers for headcount conversations, with visibility months in advance. |
Common questions from WFM and support ops teams
Get a forecasting demo built around your team
15 minutes, no generic slide deck. See how automated scheduling would run with your actual rules and volume.
The 2026 WFM Buyer's Guide: 11 platforms compared
A side-by-side breakdown of Assembled, legacy enterprise WFM, and everything in between — pricing structure, setup time, and what each is actually built for.
Or run the numbers yourself → Erlang-C calculator