Innovation Lab

Agent experiments for Arvind Real Estate — from idea to shipped, measured against pilot baselines.

Lab ideas

6

Tailored to this business

Avg impact

78/100

Weighted on revenue lift

Experiments running

5

Building, piloting or shipped

Shipped

1

Live in production

Impact vs effort

Where to spend the next sprint

Quick winsBig bets
Impact ↑Effort →

Horizon split

6
  • Now3
  • Next3
  • Later0

Experiment pipeline

  • Idea17%
  • Building33%
  • Piloting33%
  • Shipped17%

Technology building blocks

Most reused across lab ideas

1
1
1
1
1
1
1
1
RAGSoft-holdPrice-gridIdentityEvent-sourcedWhatsAppDeterministicComparables

AI product concepts

5 platform bets for Arvind Real Estate

Asset Performance Intelligence

Prototype

Live NOI per asset — rent roll, escalations, CAM recovery, energy cost and capex — with renewal risk scored per tenant and the lease decision modelled before the negotiation starts.

For Asset managers, CFO, leasing heads

Rent-roll data modelRenewal risk modelNOI scenario engine

Edge: Occupancy defended before notice periods, not after

Corporate Leasing Copilot

Pilot

Reads the tenant RFP, models the fit-out and CAM budget, prices options live on the negotiation call and drafts the LOI the same day.

For Corporate tenants, leasing team

RFP parsingParametric fit-out estimatorLOI generation

Edge: Speed wins shortlists — a day instead of a week

Tenant Demand Radar

Prototype

Watches hiring, funding, GST registrations and expansion signals to name which corporates will need space next quarter, and opens the conversation before the RFP is written.

For Leasing team, business development

Signal miningFirmographic enrichmentOutbound orchestration

Edge: Pipeline created ahead of the market, not bid for inside it

Investor & Yield Desk

Concept

A self-serve desk for HNI and institutional investors: modelled yields, audited comps, exit scenarios and on-demand performance packs, with an agent answering portfolio questions in plain language.

For Yield investors, family offices, IR team

Finance engineNarrative generationSecure investor portal

Edge: Institutional-grade transparency from a developer

Land-to-Launch Simulator

Concept

Feeds a parcel through demand heat, approvals risk, product mix, phasing and cashflow to return IRR bands in minutes, so land decisions are modelled before anyone travels.

For Leadership, land acquisition, planning

Geospatial demand modelApprovals registryMix and cashflow optimiser

Edge: The highest-leverage decision in the business, made on evidence

Idea catalogue

6 plays designed for Arvind Real Estate

Live inventory answer engine

Now

"Is a 3BHK on a high floor available?" still needs a human with a spreadsheet.

What we build: Agent wired to the inventory master answering availability, view, floor rise and payment plan in seconds, with soft-block on the unit while the buyer decides.

RAG over unit masterSoft-hold APIPrice-grid calculator
Aiera ContextAiera Converse
Impact
Effort

Tracks First response time · payback 5 weeks

Broker attribution & payout agent

Now

Duplicate lead claims and payout disputes eat the broker desk's month-end.

What we build: First-touch attribution ledger with automatic duplicate detection and a broker-facing payout status bot.

Identity resolutionEvent-sourced ledgerWhatsApp notifications
Aiera ConnectAiera Dash
Impact
Effort

Tracks Disputed claims / month · payback 6 weeks

Rental-yield explainer for commercial

Next

Yield investors need a model, not a brochure — and the sales team improvises numbers.

What we build: Compliance-safe calculator that walks through rent comps, escalations, CAM and exit assumptions, generating a PDF with approved disclaimers.

Deterministic finance engineComparables datasetPDF generation
Aiera ContextAiera Brain
Impact
Effort

Tracks Commercial conversion · payback 8 weeks

Resale & leasing matchmaker

Next

Resale supply inside Arvind townships never meets the demand already in the CRM.

What we build: Two-sided matching engine that pairs exiting owners with active buyers and pushes both sides a curated shortlist.

Vector matching on preferencesTwo-sided marketplace logicAutomated outreach
Aiera PredictAiera Engage
Impact
Effort

Tracks Resale transactions / quarter · payback 11 weeks

Leasing RFP auto-responder

Next

Corporate tenant RFPs take a week to answer; the fastest landlord usually wins the shortlist.

What we build: Parse inbound RFPs, map requirements to available floors, draft the commercial response and route it for one-click approval.

Document parsingRequirement-to-inventory matchingApproval workflow
Aiera ContextAiera Dash
Impact
Effort

Tracks RFP response time · payback 7 weeks

Visit-to-booking nudge sequence

Now

Post-visit follow-up dies after the second call.

What we build: Behaviour-triggered 21-day sequence mixing voice, WhatsApp and personalised unit videos, paused instantly on any negative signal.

Journey orchestrationGenerative video personalisationSentiment guardrails
Aiera EngageAiera Sense
Impact
Effort

Tracks Booking conversion · payback 6 weeks

Idea

1 experiments

  • Rental-yield explainer bot

    If we deploy rental-yield explainer bot, conversion improves measurably within 30 days.

    +29%Priya Kulkarni

Building

2 experiments

  • Visit-to-booking nudge sequence

    If we deploy visit-to-booking nudge sequence, response time improves measurably within 30 days.

    +19%Rohit Iyer

  • Leasing RFP auto-responder

    If we deploy leasing rfp auto-responder, cost per qualified lead improves measurably within 30 days.

    +17%Rahul Khan

Piloting

2 experiments

  • Inventory availability answer engine

    If we deploy inventory availability answer engine, cost per qualified lead improves measurably within 30 days.

    +7%Rohit Nair

  • Resale listing matchmaker

    If we deploy resale listing matchmaker, retention improves measurably within 30 days.

    +17%Karthik Gupta

Shipped

1 experiments

  • Broker attribution & payout agent

    If we deploy broker attribution & payout agent, response time improves measurably within 30 days.

    +7%Priya Iyer