Watch how we turn raw complaints into revenue-saving actions in real-time. Hit run to start the simulation.
Engine Idle
1. Raw Feed
Awaiting data stream...
2. Detection & Impact
Critical Issue Detected
Shipping Delay & Packaging
Rating Impact-0.4★
Revenue at Risk₹2.1L
3. Output
Recommended Action
Switch to 3-ply corrugated boxes and use expedited shipping for Zone 4.
Customer Prediction
Fixing this will prevent an estimated 14% churn in repeat purchasers.
The Problem
Reviews are loud. Decisions are silent.
Traditional review tools were built for analysts. You're not an analyst — you're trying to run a business.
01
Dashboards everywhere
Endless charts and word clouds that need a data analyst to interpret.
02
Last month's data
By the time you spot the trend, you've already lost the customers.
03
Generic summaries
"Customers complain about delivery." Cool. Now what do you do?
04
No revenue context
Without rupees attached, every issue looks equally urgent. None get fixed.
ACTION
Add 1 extra staff between 7–9 PM
ACTION
Switch to double-corrugated boxes
ACTION
Rotate floor 3 housekeeping team
PREDICT
+24% Revenue Growth
TREND
Demand Spiking
The Engine
One pipeline. From noise to a decision.
Raw feedback enters from every channel. Five stages later, what comes out isn't a chart — it's a ranked, revenue-weighted decision your team can ship today.
01
Collect
REVIEWS, FORMS, DMS
1,284 signals
02
Analyze
CLUSTER · ROOT-CAUSE
37 themes
03
Detect
SPIKES & DROPS
4 anomalies
04
Decide
RANK BY ₹ IMPACT
Top 3 picked
05
Act
APPROVE · SHIP
Loop closed
Engine Output - Mon 04 May
✨ 3 Decisions Ready
Problem
Floor 3 housekeeping
Impact
₹3.4L at risk
Action
Rotate team + audit
Problem
Mumbai courier leaks
Impact
↑ 22% refunds
Action
Switch packaging vendor
Problem
CP outlet wait time
Impact
−0.6★ vs avg
Action
Add 2 weekend staff
Inside The Engine
Eight tools. One brain.
Real-time alerts
Instant pings the moment a complaint spike or rating drop emerges.
Weekly Top 3
The only three things you need to focus on this week. Curated, ranked, ready.
AI-powered actions
Not insights — step-by-step playbooks tailored to your category.
Auto-generated replies
Context-aware responses drafted, ready for one-tap approval.
Multi-location compare
Rank branches by defect rate, satisfaction, and recovery time.
Trend detection
Track whether your operational changes are actually moving the needle.
Revenue framing
Every complaint translated into estimated lost revenue.
Vertical-aware
Tuned for hotels, restaurants, D2C — not a generic NPS tool.
Who It's For
Where there are reviews, InsightDrop belongs.
🍽️
Restaurants
Service quality, wait times, food consistency, ambience, peak-hour ops
Google + Zomato
🏨
Hotels
Room quality, check-in, housekeeping, F&B, OTA rating wars
InsightDrop is built to cut through the noise of scattered reviews and focus purely on actionable intelligence. It automatically ingests feedback across all platforms (Google, Zomato, Amazon), analyzes sentiment, and structures the data to find what matters most.
We apply a systematic approach to customer feedback data — Defining complaint clusters, Measuring frequency and severity, Analyzing root causes, and Recommending specific actions with an estimated revenue impact.
It replaces hours of manual reading with a clear, weekly prioritized checklist delivered directly to your inbox or WhatsApp.
Automated Data PullPareto AnalysisImpact EstimationTrend TrackingActionable Items
Why not just use ChatGPT?
ChatGPT is a tool. We are a system.
Because ChatGPT:
Doesn't pull your data automatically
Doesn't track trends week over week
Doesn't prioritize what actually matters to revenue
Doesn't give consistent weekly decisions
InsightDrop does — in one click.
Stop reading reviews. Start fixing what matters.
Your customers are already telling you what's wrong. InsightDrop tells you what it's costing you — and exactly what to do about it this week.