TRAI tightens anti-spam rules as UCC complaints climb to 31.09 lakh

TRAI has strengthened anti-spam measures, requiring telecom operators to deploy AI/ML detection and declare application-to-person calling. Operators can act when five or more calling lines are flagged within 10 days, raising compliance stakes for retailers’ customer outreach.

— Source publishedSun, 27 Sept, 2026, 21:17 IST·First seen Mon, 28 Sept, 2026, 08:25 IST·Source The Hindu BusinessLine

The channel move

TRAI tightened anti-spam rules after UCC complaints rose to 31.09 lakh in 2025, requiring operators to use AI/ML detection and declare A2P calling. Operators can act when five or more CLIs are flagged within 10 days.

Channel facts

  • five or more
  • 10 days
  • 31.09 lakh
  • 2025

What it means for online and offline

Retailers should centralize consent records, register sender identities and tighten campaign controls as TRAI’s AI-led enforcement raises the risk of blocked promotional calls and messages.

Signals to track

  • TRAI or telecom-operator guidance defining enforcement thresholds, AI/ML detection standards and timelines for A2P calling declaration.
  • Operator blocking, filtering or warning actions against retail, delivery, fintech or outsourced-contact-center number ranges.
  • Growth in UCC complaints tied to branded promotional calls, delivery-related cross-sell or retailer-affiliate campaigns.
  • Introduction of stricter sender traceability, mandatory headers, template registration or consent-proof requirements for messaging channels.
  • Rising use of verified business messaging, click-to-chat, app notifications and loyalty-led offers as substitutes for outbound calls.

The counter-case

The immediate commercial impact may be overstated: TRAI measures principally target unsolicited communications and fraudulent/opaque calling patterns, not consented retailer outreach. Large retailers already using registered headers, templates, DLT processes and opt-in databases may face incremental operational work rather than a material reduction in campaign reach. AI/ML-based operator enforcement could also generate false positives, disrupting legitimate high-volume campaigns without proving that retailer compliance failures are widespread.