AI product portfolio

Ten AI products designed for Arvind Real Estate — scored by business impact, build effort and time horizon.

Products in portfolio

5

Concept to pilot

Avg impact score

85/1001 quick wins

Impact high, effort low

In pilot

1

Running with live data

Shippable in 90 days

2

Horizon: Now

Portfolio

Select a product to see the full brief

Stage mix

5
  • Pilot1
  • Prototype2
  • Concept2

Stream split

Quick wins vs core transformation

  • Quick win20%
  • Core build80%

Horizon split

  • Now40%
  • Next40%
  • Later20%

Portfolio health

85%

Average impact score

20%

Share that are quick wins

Impact vs effort matrix

Tap a dot to open that product brief

Quick winsBig bets
Impact ↑Effort →

Technology building blocks

Most reused across the portfolio

1
1
1
1
1
1
1
1
Rent-rollRenewalNOIRFPParametricLOISignalFirmographic

Asset Performance Intelligence

Prototype · Now · Internal platform

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.

Who uses it

Asset managers, CFO, leasing heads

Metric it moves

NOI per sq ft

Target outcome

Renewal rate up 5-8 points and CAM leakage recovered within two quarters

Stream

Core build

Why Arvind wins

Occupancy defended before notice periods, not after

Rent-roll data modelRenewal risk modelNOI scenario engine
Open full dashboard →
Business impact90/100
Build effort52/100
Delivered by the Aiera stack on Arvind Real Estate data — 5 geographies, 5 languages, grounded on 3 product sets.

Rollout sequence

How the ten land across the year

Now

2
  • Asset Performance Intelligence
  • Corporate Leasing Copilot

Next

2
  • Tenant Demand Radar
  • Investor & Yield Desk

Later

1
  • Land-to-Launch Simulator