IndiaConsumer goods2026 – ongoing

Havells India

Locobuzz customer-feedback intelligence

Havells reduced manual feedback review by about 90%, Locobuzz reported

WorkingVendor case studyVendor ↗

Problem

Customer feedback arrived across disconnected channels. Analysts manually classified comments, delaying responses to urgent issues.

Approach

Havells deployed Locobuzz's customer intelligence platform on AWS. Foundation models classified feedback and grouped related complaints. Regional teams received alerts linking to relevant feedback clusters.

Results

~90%reduction in manual review workload reported by LocobuzzVendor case study[1]

98%response rate to critical customer issues reported by LocobuzzVendor case study[1]

Takeaway

Complaint grouping was connected to regional response workflows, giving teams a route from detection to action.

Sources

How Havells Built a Real-Time Digital Command Center for Customer Insight Using Amazon OpenSearch Service with Locobuzz
LocobuzzApr 2026Vendor publication

Source summaries

[1]LocobuzzApr 2026

Locobuzz described Havells' deployed feedback classification and alerting platform. It reported about 90% less manual review and a 98% response rate to critical issues.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026