Customer Lifecycle Intelligence

From Blind
Operations to a
Controlled System.

DRA Homes manages 1,600+ customers across a 3–4 year lifecycle. Every missed call, untracked WhatsApp, and unresolved query is a revenue and referral risk. This changes that.

17 Use Cases mapped end-to-end
4-Phase implementation roadmap
30-Day pilot to prove value
Customer Lifecycle Intelligence· Collections Operating System· WhatsApp Control Layer· Voice QC at 100% Coverage· Zero Missed Responses· Registration Success KPI· mCube Integration· Commitment Tracking· Customer Lifecycle Intelligence· Collections Operating System· WhatsApp Control Layer· Voice QC at 100% Coverage· Zero Missed Responses· Registration Success KPI· mCube Integration· Commitment Tracking·
Section 01

The Stakes Per Customer
Are Enormous.

This is not a call centre problem. Each customer represents a multi-year, multi-crore relationship. The math makes the urgency clear.

1,650
Active customers
at any time
3–4 yrs
Customer lifecycle
booking to handover
8–10×
Payment milestones
per customer
₹1–2 Cr
Average property value
per customer
Revenue at risk per cancellation
₹1.5 Cr
One cancelled booking doesn't just lose the sale — it loses the referral chain. A premium buyer in this segment typically influences 2–3 purchases in their network. Poor CRM handling is the #1 trigger for cancellation post-booking.
Management visibility today
0%
Leaders currently see only what agents report. No call transcripts. No WhatsApp logs. No commitment tracking. No ticket SLAs. Decisions about collections, escalations, and customer health are made on anecdotal data.
Section 02

The Customer Lifecycle.

Six phases. 17 use cases. 3–4 years of continuous engagement — all currently running on fragmented channels with no centralised tracking.

Phase 01
Booking
2 touchpoints
Phase 02
Collections
3 touchpoints
Phase 03
Home Loan
3 touchpoints
Phase 04
Registration
3 touchpoints
Phase 05
Handover
4 touchpoints
Phase 06
Post-Handover
2 touchpoints
#Use CasePhaseDirectionChannelCurrent Gap
Section 03

Where It Leaks.

Every phase has two gaps: a communication gap and a tracking gap. The phases that leak most are also the most emotionally critical.

Critical
WhatsApp is Completely Uncontrolled
Agents use personal numbers. No monitoring, no logs, no ticket creation. If an agent is on leave, messages sit unread. The company's primary communication channel has zero visibility — for management or the customer.
Critical
No Commitment Tracking on mCube Calls
mCube routes calls to agents but captures nothing. When a customer says "I'll pay by Friday", that commitment lives only in the agent's head. Collections management is entirely dependent on agent-reported data — unverified and untracked.
High
No Ticketing System or SLA
Queries come in via email, WhatsApp, SMS and portal. Nothing is centralised. No ticket = no SLA clock = no accountability. Complaints fall through the gaps. Resolution time is unknown because it was never measured.
High
Registration Handled Poorly
Surprise stamp duty and registration charges at a sentimental milestone create disproportionate damage. Customers who should be celebrating feel blindsided. Poor communication at this stage triggers cancellations and zero referrals.
Medium
No Longitudinal Customer View
Each interaction is siloed. No one can see a customer's full history — complaints raised, payments made, communications sent — in one place. This means agents handle every interaction cold, repeating context the customer has already given.
Medium
Snag List & Handover Unstructured
Defects are raised verbally or via WhatsApp to agents. No structured tracking of snag items, ownership, or closure confirmation. Customers approaching possession — their most important milestone — experience the most disorganised process.
Section 04

Use Cases in Action.

Three critical scenarios — what happens today versus what the system delivers.

01 — Payment Follow-Up Call
Before
Agent-dependent, invisible
Agent calls via mCube. Conversation unrecorded
Customer says "I'll pay by Friday" — commitment unlogged
Friday passes. Nobody follows up. Manager unaware
Collection delay attributed to "customer issue"
After
Tracked, committed, enforced
Call recorded, transcribed and analysed automatically via mCube API
AI detects "Friday" as payment commitment, logs to customer timeline
Auto-reminder triggered Thursday. Escalation fired if no payment Saturday
Manager dashboard shows commitment rate, follow-through rate in real time
02 — Registration Process
Before
Last-minute, emotional damage
Stamp duty and registration fees disclosed days before slot
Customer arrives without complete documents. Slot rescheduled
Agent coordinates over personal WhatsApp — no audit trail
No CSAT captured. Management learns of problems months later
After
Proactive, celebratory, trackable
Automated document checklist sent 14 days before registration
Charges clearly communicated via structured WhatsApp flow — no surprises
Readiness confirmation captured 48hrs before slot. Flag raised if incomplete
CSAT triggered within 24hrs post-registration. Success KPI tracked monthly
03 — Inbound Complaint via WhatsApp
Before
Black hole
Customer messages agent's personal number with construction complaint
Agent on leave. Message unseen for 3 days
Customer escalates via email. Disconnected from original WhatsApp thread
Complaint "resolved" — but no record of resolution or customer confirmation
After
Centralised, SLA-tracked, closed
Customer messages centralised DRA WhatsApp number via ClawDBot
Auto-ticket created in 60 seconds. SLA clock starts. Category: Construction
Assigned to correct team automatically. Escalation triggered if breached
Resolution confirmed with customer. Ticket closed. Timeline logged permanently
Section 05

The System Architecture.

Five layers working in concert. Not a tool — a lifecycle operating system that makes operational failure structurally impossible.

Layer 1
Communication Control
ClawDBot — central channel hub
Centralised WhatsApp
mCube integration
No personal numbers
Real-time intent detection
Sentiment analysis
Unified customer timeline
Layer 2
Intelligence Layer
Voice QC + Next Best Action Engine
100% call transcription
Commitment detection
Script gap analysis
Risk alerts
Follow-up enforcement
Next best action recommendations
Layer 3
Ticketing & SLA
Freshdesk — structured issue tracking
Auto-ticket from all channels
SLA tracking
Category routing
Escalation engine
Resolution monitoring
Layer 4
Workflow Automation
Workhall — task execution
Task auto-creation
Ownership assignment
Checklist enforcement
Registration prep flows
Handover coordination
Layer 5
Data & Visibility
Management Intelligence Dashboard
Inflow Velocity CRM sync
ERP integration
Collection dashboards
Agent performance
Customer health scores
Registration success tracking
Section 06

The Uplift Calculator.

Toggle each system layer to see its projected impact on your operations. Adjust your baseline to match DRA's actual numbers.

Active Customers
1,650
Current CRM active base
Avg Property Value
₹1.5 Cr
In lakhs. Range ₹1–3 Cr
Current Collection Delay
12 days
Average days past due date
Layer 1
Communication Control
Centralise WhatsApp + mCube. Every message tracked, every call logged.
Layer 2
Intelligence Layer
100% call QC, commitment detection, next-best-action engine.
Layer 3–4
Ticketing & Workflow
Auto-tickets, SLA enforcement, registration checklist automation.
Layer 5
Intelligence Dashboard
Full management visibility. Customer health, collection rates, agent performance.
Collection Delay
12 days
Baseline
Queries Responded <24h
~40%
Estimated baseline
Registration Success Rate
~72%
Estimated baseline
Mgmt Visibility Score
0%
No system today
Toggle system layers above to see projected operational improvements. All estimates are conservative — based on comparable deployments.
Section 07

How We Measure Success.

Four tiers. Progressing from system proof to business impact. Month 1 establishes the baseline — you can't improve what you can't see.

Tier 1
Revenue & Business
Collection efficiency — % of milestone payments received on due date
Successful registration rate — completions with no surprise, no reschedule
Referral rate — NPS captured post-handover, tracked quarterly
Tier 2
Customer Experience
Inbound query response time — target <4 hours during business hours
Complaint resolution time — tracked from ticket open to customer confirmation
Registration CSAT — score captured within 24hrs of registration
Handover snag closure rate — % resolved within committed timeline
Tier 3
Operational
Commitment follow-through — payment promises made vs payments received
SLA breach rate — % of tickets that exceed response SLA
Contact compliance — every customer touched once per 90 days
Agent WhatsApp → central channel migration completion
Tier 4 — Pilot
Month 1 Baseline
100% of CRM calls transcribed and reviewed
All 8 operational metrics baselined for the first time
First commitment tracking data visible to management
Management dashboard live with 30 days of real data
Section 08

Implementation Roadmap.

Four phases. Each phase unlocks the next. The pilot is Phase 1 — contained, measurable, and designed to prove value before we scale.

Phase 1 · Month 1
Baseline &
Visibility
Pilot — CRM team only
mCube API integration — all calls captured
WhatsApp centralised via ClawDBot
Personal number migration for CRM team
Call transcription pipeline live
↳ Delivers: DRA sees real operational data for the first time
Phase 2 · Month 2–3
Zero Missed
Queries
Ticketing + SLA live
Freshdesk integration + channel connectors
SLA rules configured per query category
Escalation engine — management alerts
Registration checklist automation via Workhall
↳ Delivers: Zero untracked inbound queries
Phase 3 · Month 3–4
Collections
Intelligence
AI layer fully active
Commitment detection model trained on DRA calls
Next-best-action engine per customer
Auto follow-up reminders triggered by AI
Risk scoring for high-delay customers
↳ Delivers: Collections improvement measurable vs baseline
Phase 4 · Month 5–6
Full Leadership
Visibility
Management dashboard complete
Intelligence dashboard — all KPIs live
ERP + Inflow Velocity CRM fully synced
Customer health scores visible per account
Expand scope based on pilot results
↳ Delivers: DRA operates like a controlled system
Section 09

How We Get Started.

Four steps before the pilot kicks off. Each one is a decision point — nothing moves forward without alignment.

1
Step 01 · Alignment
Agree on what
success means.
Before any build, we align on the KPIs and metrics that matter to DRA's leadership. We map what you're currently measuring, identify where the data gaps are, and agree on the baseline we're going to improve from. This becomes the single source of truth for the entire engagement.
Define Tier 1–4 KPIs together
Understand current reporting
Identify data gaps
Agree on baseline methodology
Owner: Dr. Kamal + PMB
2
Step 02 · Technical
Finalise the architecture
and integration map.
We walk through the 5-layer system with DRA's technical stakeholders to confirm access, APIs, and dependencies. mCube integration, WhatsApp Business account setup, Workhall sync, and CRM connectivity are all scoped and signed off before a line of code is written.
mCube API access confirmed
WhatsApp Business number setup
Inflow Velocity CRM integration scope
Workhall data access
Freshdesk / ticketing decision
Owner: DRA Tech + Nikhil (PMB)
3
Step 03 · Commercial
Formalise the proposal.
With the KPIs aligned and architecture confirmed, PMB produces the formal commercial proposal — scope, timeline, pricing, and pilot terms. This is the document that goes to DRA leadership for sign-off. No surprises at this stage because the two steps before it have already resolved all open questions.
Pilot scope + pricing
Full engagement commercial terms
Timeline and milestones
Success criteria contractually defined
Owner: PMB → DRA leadership
4
Step 04 · Execution
Kickstart the pilot.
CRM team only. 30 days. mCube calls captured, WhatsApp centralised, first dashboard live. At Day 30, DRA leadership sees their real operational numbers for the first time — collection delays, response rates, missed contacts, commitment follow-through. That data becomes the case for the full rollout.
Day 1: mCube + WhatsApp live
Day 7: First transcripts reviewed
Day 14: Dashboard populated
Day 30: Baseline report to leadership
Owner: Lohit (PMB PM) + DRA CRM lead
The 30-Day Pilot
30
Days.

Start with the CRM team. 25–30 calls per day. Lower volume, longer duration — the perfect environment to instrument, learn, and prove. At Day 30, DRA sees its real operational data for the first time. That's the case study for every other team.

CRM team only
mCube + WhatsApp
Baseline established
Management dashboard live
Pilot team size
4–8 agents
Daily call volume
25–30 calls
Customers covered
~1,650
Decision point
Day 30