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Property services · Conversational AI

From four hours to under a minute

A website and WhatsApp chatbot connected to HubSpot and calendar booking.

Discuss a similar project AI chatbot development

Updated · 1 min read · By Deen Dayal Yadav

Project overview

Client
London property services team
Work
Website and WhatsApp chatbot
Connected workflow
HubSpot routing and calendar booking

Anonymised client engagement. Identifying details modified for confidentiality. Names withheld.

Engagement background

A website and WhatsApp chatbot connected to HubSpot and calendar booking.

The engagement covered valuation, repair and callback enquiries for a London property services team, using website and WhatsApp channels connected to HubSpot and calendar booking.

Colleagues discussing a presentation in a meeting room
Illustrative photo - not client photography. Existing site library photography illustrating collaborative project planning. Not a photograph of this client.

The challenge

A London property services team needed to cut lead reply time across valuation, repair and callback enquiries, with first replies previously averaging 4 hours 10 minutes before the chatbot launched.

Our approach

Understand the enquiry

ML intent classification covered valuation, repair and callback enquiries.

Route into HubSpot

The website and WhatsApp Business API chatbot routed enquiries into HubSpot.

Connect the next step

OAuth 2.0 calendar booking flows and HMRC AML prompts supported the enquiry journey.

Read the implementation detail

Softomate built a website and WhatsApp Business API chatbot using ML intent classification, HubSpot routing, OAuth 2.0 calendar booking flows and HMRC AML prompts across valuation, repair and callback enquiries.

The results

Under 50 secLead reply time

From an average of 4 hours 10 minutes

7 weeksMeasurement point

After chatbot launch

Website + WhatsAppConnected channels

HubSpot routing and calendar booking

Within 7 weeks of launch, lead reply times fell to under 50 seconds, down from an average of 4 hours 10 minutes. Agents reclaimed time for viewings and landlord calls.

Anonymised client engagement. Identifying details modified for confidentiality. Figures as reported by the client at the stated measurement point.

Names withheld to preserve confidentiality. Detailed methodology and week-by-week timeline available under NDA on request.

Evidence and measurement limits

The reply-time figures were reported by the client 7 weeks after launch. The published account does not provide a sample size or independently audited methodology. Detailed methodology and the week-by-week timeline are available under NDA on request.

These are the outcomes stated in the existing anonymised engagement account. Results depend on scope, baseline and operating conditions; another project needs its own agreed measures.

Questions about this engagement

Frequently asked questions

What was the client situation before working with Softomate?

A London property services team needed to cut lead reply time across valuation, repair and callback enquiries, with first replies previously averaging 4 hours 10 minutes before the chatbot launched.

How did Softomate approach the project?

Softomate built a website and WhatsApp Business API chatbot using ML intent classification, HubSpot routing, OAuth 2.0 calendar booking flows and HMRC AML prompts across valuation, repair and callback enquiries.

What were the measured outcomes?

Within 7 weeks of launch, lead reply times fell to under 50 seconds, down from an average of 4 hours 10 minutes. Agents reclaimed time for viewings and landlord calls.

How can my business get similar results?

Book a free 30-minute discovery call with our London team. We will scope your challenge, share comparable past engagements, and deliver a fixed-price scoping document within 48 hours. No commitment required.

Is this case study based on a real engagement?

Yes. Identifying client details have been anonymised for confidentiality. We can share more specific named-client references under NDA during a discovery call.

Discuss your next step

What would improvement look like for your team?

Bring your current workflow, constraints and baseline. We can discuss the scope and measures that would make a similar project useful for you.

Discuss your project

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Deen Dayal Yadav, founder of Softomate Solutions

Deen Dayal Yadav

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