supply_chain · logistics · workflow
TIER Mobility manages 350,000+ e-scooters and e-bikes across 560+ cities with dbt Cloud
As TIER Mobility scaled from a handful of cities to 560+ in four years, its data team became a bottleneck: data volume grew exponentially, the team expanded from 6 to 60 people, and the existing setup could not support the pace of contribution needed from all members.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Fleet allocation need
TIER needs to know how many vehicles should be allocated to each of their tens of thousands of pick-up locations.
Tools used
dbt Clouddbt CoreRedshiftSnowflake · partnerAirflow
Outcome
TIER scaled its data team from 6 to 60 people while increasing analyst output, onboards new members in one hour, completed a zero-downtime migration from Redshift to Snowflake in six weeks, and uses demand prediction to unlock hundreds of thousands or even millions of dollars in operational efficiency.
Results
Time saved1 hour
Volume500x
Cost replacedhundreds of thousands or even millions of dollars
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
forecastingpredictive analyticsmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedlogisticscost reductioncycle time reductionemployee productivitythroughput increasevendor customer storycompliance monitoringlogistics opssupply chaindata sync enrichmentmonitor detect alert