A government LINE chatbot lets Bangkok residents report potholes, flooding and broken infrastructure with a geotagged photo. A peer-reviewed study of 98,000 reports found resolution time fell from months to about two days, satisfaction hit 91%, saving the city US$2.14m a year.
~2 months
Average resolution time (before)
~2 days
Average resolution time (after)
91 %
Citizen satisfaction
84 %
Staff satisfaction
US$2.14 million (78m THB)
Estimated annual savings (annual)
98000
Reports analysed in study (May-Dec 2022)
17,000+
Organisations using platform (by May 2025)
577
Town municipalities adopting
1.37 million+
Cumulative reports (by May 2025)
1 million
Resolved cases milestone
Details
Maturity
Established
Promoter
National Electronics and Computer Technology Center (NECTEC/NSTDA), with Bangkok Metropolitan Administration
Period
2022-ongoing
Keywords
civic tech, open data, municipal service delivery, urban maintenance
Context
Before Traffy Fondue, residents of Bangkok reporting infrastructure problems such as potholes, broken streetlights, flooding or garbage faced fragmented district-office channels, with resolution times often measured in months and no shared, trackable record of complaints. Thailand's National Electronics and Computer Technology Center (NECTEC), under the National Science and Technology Development Agency (NSTDA), built Traffy Fondue as a chatbot on the LINE messaging app, widely used across Thailand, with a companion website, letting citizens submit a geotagged photo report that an AI classifier routes to the responsible agency.
Objectives
The platform aimed to cut resolution times for everyday municipal complaints, create a trackable public record of issues and their status, and route reports automatically to the correct agency without requiring citizens to know which office was responsible.
Activities
Citizens submit a geotagged photo through LINE or the companion website; an AI classifier assigns the report to the responsible agency, and status updates are published back to the reporter and, via an open API, to researchers and the public. A 2025 peer-reviewed study in Frontiers in Sustainable Cities (Thammasat University) analysed 98,000 reports submitted in the platform's first nine months (May-December 2022) alongside 12 stakeholder interviews spanning NECTEC/NSTDA, Thammasat University, the Asian Institute of Technology, the Asian Development Bank and the Bangkok Metropolitan Administration.
Results
Average resolution time fell from roughly two months to about two days, citizen satisfaction reached 91% and staff satisfaction 84%, and the Bangkok Metropolitan Administration estimated annual savings of US$2.14 million (78 million Thai baht). By May 2025 the platform had been adopted by more than 17,000 organisations nationwide, including 577 town municipalities, with over 1.37 million cumulative reports; Bangkok Post separately reported the platform passing 1 million resolved cases citywide.
Conclusions
The study's own authors flag a documented equity gap: Traffy Fondue has no explicit digital-inclusion policy, and its digital-first design disadvantages residents without smartphones or reliable internet, who are concentrated in lower-income areas — a caution for any city considering a similar chatbot-only channel.
Implementation
Indicative cost
Low (< €50k) — Built on the existing LINE messaging platform rather than a bespoke app, likely reducing incremental development and user-acquisition costs
Time to results
Medium (1–3 years)
Staffing & skills
NECTEC/NSTDA technical team operating the AI classifier and platform, District and municipal agencies receiving and resolving routed reports
Conditions for success
Built on LINE, an already widely-used messaging app in Thailand, lowering adoption friction
AI-based routing directs reports to the correct agency without citizen intervention
Open API publishes status data to researchers and the public
Common failure modes
No explicit digital-inclusion policy; digital-first design disadvantages residents without smartphones or reliable internet, who are concentrated in lower-income areas
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
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