Run a thousand drivers like a single team.
Flowboard unifies RingCentral, your TMS, Airtable, and Sheets into one operations cockpit — so dispatchers see one truth, drivers stop receiving the same load ten times, and your margin shows up in real time.
Your operations data lives in four systems. Your insights live in none.
Every brokerage running thousands of drivers ends up with the same problem: tenders in SMS, drivers in a TMS, equipment in Airtable, margin in Sheets. Dispatchers spend their day reconciling tabs instead of moving freight.
And when the same load goes out from five different dispatchers on the same morning, drivers stop responding. Coverage rates look bad, dispatcher metrics look great, and nobody knows the truth.
Stop broadcasting the same load ten times.
Flowboard's deduplication engine matches tenders on origin, destination, date, weight, and driver overlap — then groups every duplicate into a single logical tender with full provenance.
- Four confidence tiers — definite, probable, possible, separate — with auto-grouping where it’s safe and review queues where it’s not.
- Honest coverage rates — the denominator is the unique load, not how many copies your team broadcasted.
- Driver fatigue metrics — see exactly how response rates decay with each repeat broadcast.
- ATL → DALMia K. · 07:42
- ATL → DALJames R. · 07:48
- ATL → DALPriya N. · 08:01
- ATL → DALMia K. · 08:14
- ATL → DALCarlos D. · 08:23
- ATL → DALJames R. · 09:05
- ATL → DALSasha L. · 09:18
- ATL → DALPriya N. · 10:02
One driver, no matter where they show up.
A single driver lives behind two phone numbers, a unit number, an Airtable record, and a TMS ID. Flowboard normalizes phones to E.164 and joins every variant — so wins, bids, check-ins, and margin roll up to the right person every time.
- TMS as source of truth — active status from your TMS API takes precedence; Airtable drift is flagged, not silently overwritten.
- Conflict review queue — fuzzy matches and ambiguous Winner-field names go to a human, not a black box.
- Full audit trail — every status change and identity merge is logged with who, when, and why.
Role-built dashboards for everyone who moves the load.
Seven dashboards, one source. Executives see coverage and margin trends. Dispatchers see their queue and win rate. Drivers see their bid history and earnings. Finance sees revenue by lane, dispatcher, and customer.
Live in four weeks. No rip-and-replace.
Connect what you have
Plug RingCentral, your TMS, Airtable, and Google Sheets into Flowboard. No rip-and-replace, no driver retraining. We meet your stack where it lives.
We unify the noise
Tender deduplication, phone-and-unit identity resolution, ZIP-to-geo enrichment, and TMS-authoritative status — all running on a schedule, with a full audit trail.
Dispatchers decide faster
Role-based dashboards for executives, dispatchers, drivers, and finance — built on logical tenders, not raw broadcasts. Real margin in real time.
Questions ops leaders ask first.
Do we have to leave our current TMS?
No. Flowboard is an analytics overlay, not a replacement. Your TMS stays authoritative for active driver status; we just unify it with RingCentral, Airtable, and Sheets so you can see the whole operation at once.
How does deduplication actually work?
Tenders are grouped by origin + destination + date, then strengthened by weight, mileage, and overlapping driver recipient lists. Each match falls into one of four confidence buckets — definite, probable, possible, or not — with manual review for the borderline ones. You see both views: deduplicated by default, raw for audit.
What about driver identity across phone numbers and units?
Flowboard normalizes phones to E.164 and joins them across the Airtable Drivers and Equipment tables, the TMS roster, and the LoadBoard winner column. The TMS is the authoritative source for active status; discrepancies are flagged, not silently overwritten.
Where does our data live?
In your warehouse — BigQuery, Snowflake, Postgres, or Supabase, your choice. Flowboard provides the pipeline, the deduplication engine, and the dashboards on top. You own the raw data end-to-end.
How fast can a team this size go live?
A typical brokerage with 1,000–2,000 drivers is reading live dashboards within four weeks: week one to connect sources, two to backfill and validate against your historical XLSX reports, three to tune deduplication thresholds with your dispatch leads, four to roll out to the team.
Show me my operation, in one place.
A 30-minute demo using a sample dataset built around your size and your stack. We'll show you what your real coverage rate looks like.
We'll reply within one business day. No deck-only demos.