AI Trace
Data AnalysisVerified

Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.

P&G uses AI to analyze real-time brushing behavior data collected from Oral-B iO smart toothbrushes — with users' opt-in consent — to identify gaps between how consumers actually use products and how they report using them, feeding these insights back into product R&D and development. The Oral-B app provides users real-time coaching as a direct feature, while aggregated data informs P&G's R&D teams.

Details

The Oral-B iO toothbrush contains motion and pressure sensors that, when paired with the Oral-B app, track brushing duration, pressure, and coverage across 16 zones of the mouth. Sensor data is synced to the app and to P&G's cloud. P&G's R&D team uses AI and machine learning to analyze aggregated, real-time usage data and identify patterns. A key finding cited publicly by P&G is that actual average brushing time was only 47 seconds — versus the two minutes consumers self-reported — a discrepancy that informed product development decisions. The Oral-B app also uses AI to provide users with real-time 3D tracking and coaching on missed brushing zones.

Products affected

Oral-B iO toothbrushOral-B app

Sources & Evidence

Cite this record

Trace Foundation. (2026). Oral-B: P&G uses AI to analyze real-time brushing behavior data collected from Oral-B iO smart toothbrushes — with users' opt-in consent — to identify gaps between how consumers actually use products and how they report using them, feeding these insights back into product R&D and development. The Oral-B app provides users real-time coaching as a direct feature, while aggregated data informs P&G's R&D teams (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/5cb2d614-6aac-497b-a5fc-d3265c3a49f7. Accessed October 4, 2026.

Stable link
https://www.aitrace.org/r/practice/5cb2d614-6aac-497b-a5fc-d3265c3a49f7
Data as of
July 11, 2026
Last verified
Not recorded

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