Support Volume Forecasting Software | Assembled
Forecast for tomorrow with confidence
Get sophisticated, configurable forecasting without needing a PhD or dedicated analyst. Right-size staffing instantly across all teams — whether in-house, outsourced, or AI-automated support.
Forecasts that fit your reality
Leverage our flexible models or bring your own via API. As your business changes, get control and configuration options to fine-tune forecasts without starting over.
Models that work right out of the box
Use our accurate, out-of-the-box forecast models or import your own via API or CSV. No PhD required to get sophisticated predictions running.
Expect the unexpected
Account for seasonality and unique patterns specific to your business. Black Friday spikes, back-to-school rushes, product launches — we handle it.
Forecast down to the details
Forecast by queue, channel, or site with granular control. Use AND/OR logic to create queues of any complexity, and drill down to units of work on every case.
Automate, customize, optimize
Customer-centric businesses don't just set and forget their forecast. Get helpful automation plus intuitive ways to make manual adjustments when the world changes around you.
Tailor to your business
Mix and match to find the right forecasts for each queue. Use our intelligence where it helps, override with your expertise where it doesn't.
Manual adjustments and outliers for real life
Manual adjustments to prepare for upcoming events — product launches, marketing campaigns, system outages. Life happens, forecasts adapt.
History that teaches itself
Historical arrival patterns are auto-applied to forecasts. Fine-tune with dynamic interval-level AHT adjustments to enhance accuracy as you learn.
Reimagine staffing for email
Your email SLA now accounts for existing and forecasted backlog and business hours. Visualize historical backlog and see how it might change in the future.
See backlogs before they build up
Visibility into historical and projected backlogs. Know when that pile of emails is going to become a problem before customers start complaining.
Test different scenarios
Staffing simulations based on different SLAs, target response times, and email productivity levels. Play out what-if scenarios before committing resources.
SLA calculations that actually work
Enhanced SLA calculations that account for backlog and business hours. No more pretending emails get answered instantly at 9am Monday morning.
Turn insights into action
In three clicks or less, get a clear picture of your staffing requirements by channel. This directly informs short-term scheduling and longer-term headcount strategy.
Answer the hiring questions
When you're asked "Do you really need to hire another 5 agents?" you'll have data-backed answers that show exactly why and when you need them.
Right-size every channel
Clear staffing requirements by channel mean no more over-staffing email while chat agents get overwhelmed. Forecast accuracy reporting keeps teams on the same page and helps you make future adjustments.
Plan beyond next week
Longer-term headcount strategy gets easier when you can see volume trends and staffing needs months in advance, not just tomorrow's schedule.
Everything you need to manage your customer support team
Seamlessly integrated with your full tech stack
Our results speak for themselves
90%
WFM processes handled by Assembled
$500k annual savings
“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.“
Jonathon Hikade
Former WFM Analyst, Lyra Health
50% less time spent on forecasting
“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.“
Pavlos Vasilakis
Workforce Manager, Typeform
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