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SwiftERM
SwiftERM uses predictive analytics to identify imminent customer purchases in the fashion eCommerce space
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
SwiftERM uses predictive analytics to identify imminent customer purchases in the fashion eCommerce space. By analyzing behavioral patterns and seasonal trends, the platform helps retailers anticipate buying intent and optimize their marketing strategies. Designed for the fast-moving fashion industry, it enables businesses to stay ahead of seasonal shifts and market changes.
HTTP liveness
9 probes since Jun 16Jun 16Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
9 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y