Cross-vertical flexible-labor supply and demand telemetry

Cross-vertical flexible-labor supply and demand telemetry. Two sides: (1) an employer-side shift market — every open-shift post (location, department, role, shift window, posted rate), the time-to-fill latency, who confirmed it, and the callout/no-show event that reopened it; (2) a worker-side availability and fulfilment record — stated availability, acceptance and decline decisions, on-site clock-in, actual hours worked, overtime accrual and overtime-risk flags. Layered on top are employer labor forecasts by location, department and role, plus a vendor-management layer scoring external staffing agencies on fill performance, cost and reliability. The differentiated asset is the paired record of demand posted versus labour actually delivered, per shift, across six verticals simultaneously (retail, hospitality/QSR, healthcare and post-acute/senior living, events and venues, logistics and 3PL, education).

Open buyer room →

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks Nowsta and files the sample in your catalog — private to you.

Start 7-day trialNothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry: Human Resource & Employment ServicesLong-Term Care FacilitiesQuick-Service Restaurants
Instruments

Dataset card

Type: not stated
Format: Tabular event and transactional data — shift postings, confirmations and declines, callout events, time-and-attendance punches, payroll-ready hour records, in-app message threads between managers and workers, and structured agency scorecards. Communication logs are short free text; the remainder is structured.
Volume: Dense: one or more event rows per shift leg (post, confirmation or decline, callout, clock-in, clock-out, payroll reconciliation) means roughly 5-8 records per filled shift. At a $14M enterprise-book scale that plausibly implies millions of shift-event rows annually across six verticals, and the labor-forecast layer adds a per-location, per-department, per-role daily forecast record on top
Users: Est. low tens of enterprise client organisations with a flexible worker pool in the tens of thousands (inferred from $126M raised through Series C, $14M revenue, and 73 employees serving multi-site retail, hospitality, healthcare, events, logistics and education accounts)
History: 11 years
Update frequency: not stated
Growth: Active with recent leadership churn — $126M raised through Series C and a $14M revenue run-rate indicate a live commercial motion, while a recently seated Chief Executive alongside two overlapping data-director roles suggests a management refresh or strategy reset under way
Launched: ~2015-2016 (inferred: the trajectory to Series C with 73 staff and $14M revenue implies a mid-2010s founding, and the product is mature enough to span six verticals with per-vertical modules rather than a single launch wedge)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site