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Growth Pilot

Zero Brokerage · Gurugram

Command

Growth AI

The model layer behind Aiera. Every enquiry is scored the moment it lands, routed to the right channel, and re-scored after each conversation.

Scoring 214 enquiries a day
Scoring 214 enquiries a day4 rows trackedEnquiries scored: 15,200Rolling 90-day pilot window

Enquiries scored

15,200

+18% QoQ

Rolling 90 days

Score → visit lift

2.7×

vs unscored

Top decile against baseline

Model precision

0.81

Hot band, measured on booked outcomes

Median score latency

4.2s

−1.8s

Lead created to score written

Weekly precision of the hot band

Share of hot-scored enquiries that reached a site visit within fourteen days

W1W3W5W7W9W11

The step at week nine is the Hinglish transcript feature going live — intent read from what the buyer actually says, not only what they clicked.

Enquiries by score band

Rolling 90 days

1840
Hot
4720
Warm
6390
Cold
2250
Junk

Junk is suppressed before it reaches an advisor. That alone returns roughly 90 advisor hours a month.

Feature weight in the current model

Relative contribution to the booking probability

Budget stated on call0.31
Site-visit intent language0.26
Project page depth0.19
Loan pre-approval signal0.14
Source quality0.10

Routing outcomes

What the model decided to do with each enquiry

Aiera outbound call6,992

Hot and warm bands, called inside nine minutes

WhatsApp nurture4,712

Cold band with a real project interest

Advisor direct1,216

Ticket above ₹3 Cr, always human first

Suppressed2,280

Duplicate, test or invalid number

Model versions in production

VersionLive sinceScopePrecisionRecallNote
ir-score-3.212 FebAll enquiries0.810.74Adds Hinglish transcript intent
ir-score-3.104 JanAll enquiries0.760.71Held as fallback
ir-nri-1.422 JanNRI enquiries0.790.66Timezone-aware call windows
ir-resale-0.901 MarResale intent0.680.58Shadow mode, not yet routing

What the model is asking for

Label the 340 unresolved Mumbai calls

Precision in Mumbai trails the book by six points because the outcome field is left blank after site visits.

Sales ops · this week

Promote ir-resale-0.9

Shadow accuracy has held above 0.66 for three weeks. Routing resale intent to the dedicated desk should lift the band.

Growth · next sprint

Retire ir-score-3.1

No traffic in twenty-one days. Keeping it warm costs nothing but muddies the audit trail.

Platform · anytime

Honest limits

The model reads intent, not affordability

A buyer can sound ready and still fail a loan check. Pre-approval is a separate signal and it is deliberately weighted low until the bank responds.

Precision is measured on booked outcomes only

Enquiries that are still open are excluded, which flatters recent weeks slightly. Read the twelve-week trend, not the last point.

How to read this page

Command · Growth AI

Window

Rolling 90 days of the India Realty pilot, refreshed nightly at 02:00 IST.

Sources

Aiera call logs, WhatsApp Business API, CRM stages, Meta and portal spend exports.

Joins

Every number is joined to a booking where one exists, not to leads, so cost lines stay comparable.

Limits

Ninety days is short for a ₹1.5 Cr purchase. Late-window cohorts are still open, so treat conversion as a floor.