LEMAI CRM — Lead Management with AI
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Real Estate & Construction · previously Mixed tools

Ramya Construction: Site visits that convert instead of quietly expiring

Project-wise enquiries with site-visit scheduling, channel-partner attribution and booking stages per inventory type.

Ramya ConstructionReal Estate & Construction

More site visits held, and marketing spend redirected to the sources that actually book units.

+27%

Site visits held

Scheduled and reminded instead of verbally agreed

By source

Cost per booking clarity

Partner vs direct vs portal compared on bookings

Minutes

Forecast prep

Project dashboards replace manual manager decks

Before LEMAI

What was going wrong

  • Site visit commitments were made on calls and never scheduled anywhere
  • Channel partner and direct leads could not be compared on cost or conversion
  • Project-level forecasting was a manual exercise per sales manager

What we set up

How we fixed it

Step 01

Project, tower and unit mapping

Opportunities carry the project and inventory type so forecasts read per project pipeline.

Step 02

Visit scheduling with two-sided reminders

Meetings on the lead trigger reminders to the buyer and the sales manager.

Step 03

Source attribution

Portal, ad, partner and referral sources reported against bookings, not just enquiries.

Modules used

What they use every day

  • Lead Management
  • Tasks & Meetings
  • Reports & Analytics
  • Call Log Management
We can finally see which sources produce bookings, not just phone numbers.

Sales leadership, Ramya Construction

Money left on the table

Where they were losing revenue

Each gap below was costing enquiries that had already been paid for.

Site visits agreed, never scheduled

Commitments made on calls were not in any calendar, so a large share quietly expired.

Spend judged on enquiry count

Portals and partners were compared on lead volume, not on bookings.

Forecasts rebuilt by hand

Each manager produced their own project deck, and none of them agreed.

What made the difference

The changes that brought in more business

Each lever maps to a specific commercial effect the team could measure.

Lever 01

Two-sided visit reminders

Meetings on the lead remind the buyer and the sales manager before the slot.

Business effect

+27% site visits held — the strongest booking predictor

Lever 02

Source-to-booking attribution

Portal, ad, partner and referral sources reported against bookings.

Business effect

Budget moved to sources with real cost per booking

Lever 03

Project and inventory mapping

Opportunities carry project and unit type so pipelines forecast per project.

Business effect

Inventory pushed where the pipeline is thin, before discounts start

Before and after

The numbers, before and after

Site visits held · before

Verbally agreed

With LEMAI

+27% scheduled and reminded

Cost per booking · before

Unknown by source

With LEMAI

Compared partner vs direct vs portal

Forecast preparation · before

Manual manager decks

With LEMAI

Minutes, from dashboards

Rollout

Live in a few weeks

  1. 1Week 1Project, tower and unit structure configured with source taxonomy.
  2. 2Week 2Visit scheduling and reminder automations enabled for all managers.
  3. 3Week 4Source-to-booking report adopted for monthly marketing allocation.

Revenue impact

In real estate, revenue tracks visits held. Lifting visits by a quarter on the same enquiry volume raised bookings directly, and reallocating spend toward the sources that produce bookings lowered acquisition cost per unit sold.

Outcomes are indicative ranges observed across comparable LEMAI deployments in the same sector, shared with client permission.

Get started

Run this playbook for your real estate & construction pipeline

We will configure a sandbox with your stages, products and roles so you can judge it on your own process — not a generic demo script.

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