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Illustrative case study · Manufacturing · India

How an AI agent keeps Zoho CRM current for an UK industrial equipment manufacturer

A Zoho CRM setup with an Zoho AI agent that reads emails, calls, and WhatsApp messages and updates deals automatically, so engineers confirm changes in one tap instead of typing them in.

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4.8/5
Based on client reviews on Google
Implementation at a glance Zoho CRM with an AI agent for a 9-person sales and estimation team
Channels connected 4
Pipeline stages 8
Target stage accuracy ≥ 90%
Client overview

Deals were moving. The CRM did not know.

A mid-size manufacturer and refurbisher of industrial electrical equipment, serving steel, power, cement, and oil and gas plants, ran its sales through email, phone calls, and plant visits. Zoho CRM held contacts, but deal status was updated only before the monthly review.

Technical clarifications sat in individual inboxes, quotation revisions lived in Excel, and loss reasons were never recorded. When an engineer went on leave or left the company, the conversation history left with them.

The goal

Keep Zoho CRM accurate from the conversations the team already has, with engineers confirming only what matters, and give management a funnel they can trust.

Project details

IndustryIndustrial manufacturing
LocationUnited Kingdom
Number of users9
Previous systemsExcel quotations & shared inboxes
Zoho appsCRM, Cliq, Telephony & Zia
ChannelsEmail, calls, WhatsApp & plant visits
Sales cycle4 to 16 weeks
Our approach

A practical plan for a CRM that updates itself.

We mapped how the team actually sells, then decided which conversations the agent reads, what it may change on its own, and what always needs a human to confirm.

01 / CHANNELS

Every conversation captured

Sales and estimation mailboxes, recorded calls, a company-owned WhatsApp Business number, and plant-visit voice notes were connected to Zoho CRM, so nothing lives only in a personal inbox or phone.

02 / PIPELINE

Stages that match how deals move

Eight stages from New RFQ to Order Booked, with On Hold for pauses and a mandatory reason and competitor for every lost deal.

03 / AGENT

Proposals, not guesses

The agent moves low-risk stages on its own when it is confident, and proposes changes such as On Hold and PO Received for the engineer to confirm in one tap.

04 / REPORTING

Management sees the real funnel

Dashboards for quote-to-order conversion, objections, loss reasons, competitors, and deals that have gone quiet, all built from real conversations.

Zoho CRM Zoho Cliq Zoho Zia WhatsApp Business API
What we implemented

One platform, tailored for how the team sells.

Email sync and document filing

Sales and estimation mailboxes were synced to Zoho CRM RFQs, drawings, quotations, and purchase orders are filed against the right Deal, so technical clarifications stay with the deal, not with one person's inbox.

Call recording with Zia summaries

Cloud telephony records price and payment-term negotiations. Zia transcribes each call and writes a summary, and the agent logs the objections raised against the Deal.

WhatsApp inside the CRM

One company-owned WhatsApp Business API number handles photos of nameplates and damage and quick questions from plant engineers. Personal WhatsApp stays out of scope, so conversations belong to the company.

Cliq cards after plant visits

Two hours after a visit or technical meeting, a Cliq card asks the engineer for a voice note. The agent turns it into inspection findings, budget, competitor, delivery target, and a follow-up task.

Quotation and loss tracking

Quotation revisions are linked to the same Deal with a value history. Every lost deal carries a reason and, where known, the competitor who won it.

Confirmation controls

Stage changes the agent is unsure about, such as On Hold, are proposed for one-tap confirmation. PO Received is always confirmed by the engineer before it counts.

Target outcomes

Less manual updating. A funnel management can trust.

These are the design targets for the solution, not measured results from a live client.

≥ 90%

Deals that match reality

Share of deals whose stage in Zoho CRM matches the real situation at the weekly review.

≥ 85%

Visits logged within 24 hours

Plant visits and technical meetings with findings, budget, and next steps recorded the same day.

< 10%

Agent proposals rejected

Engineers accept most of what the agent proposes, which shows the updates are accurate and worth trusting.

Transformation

Before and after the AI agent.

Before implementation After implementation
Deal status updated before the monthly reviewStages updated from emails, calls, and messages as they happen
Technical clarifications buried in individual inboxesEmail threads and attachments filed on the Deal
Quotations and revisions tracked in ExcelQuotation revisions linked to one Deal with a value history
Price and payment discussions on calls never recordedRecorded calls with Zia summaries and logged objections
Plant visit feedback given verballyA Cliq voice note turned into structured findings and tasks
Loss reasons and competitors unknownLoss reason and competitor captured on every lost deal
Quiet deals noticed too lateDeals quiet for 10+ days flagged automatically
Context lost when an engineer leftFull conversation history owned by the company in Zoho CRM
Deal status updated before the monthly review
Stages updated from emails, calls, and messages as they happen
Technical clarifications buried in individual inboxes
Email threads and attachments filed on the Deal
Quotations and revisions tracked in Excel
Quotation revisions linked to one Deal with a value history
Price and payment discussions on calls never recorded
Recorded calls with Zia summaries and logged objections
Plant visit feedback given verbally
A Cliq voice note turned into structured findings and tasks
Loss reasons and competitors unknown
Loss reason and competitor captured on every lost deal
Quiet deals noticed too late
Deals quiet for 10+ days flagged automatically
Context lost when an engineer left
Full conversation history owned by the company in Zoho CRM
Project impact

Replacing inbox memory with a CRM that keeps up.

By connecting email, calls, WhatsApp, and plant visits to Zoho CRM through an AI agent, the sales team stops re-typing what they have already said. In the 38-day example journey, the engineer's manual CRM work was one voice note and four confirmation taps, while management gained a funnel, an objection list, and a loss-reason record built from real conversations.

Zoho CRM implementation partner

Ready to make your CRM update itself?

Datahikes helps businesses implement Zoho CRM, connect email, telephony, and WhatsApp, and add AI agents that keep deal data accurate without extra typing.

Talk to us