Computer by DevRev · customer stories
Prepared for Titan
01 / 09
DevRev × Titan
DevRev × Titan · Customer Care

Customer care that feels effortless — at Tanishq scale

A working conversation on where AI can lift experience, speed, and productivity across your care operations.

Computer
4 August 2026
Bengaluru
Your world

Every Tanishq customer touches many teams — they only see one brand

Boutiques, contact centre, and online each carry a piece of the journey. The customer expects it to feel like one.

Boutique & retail

Walk-in service, custom orders, exchanges and repairs — high-trust, high-value moments.

Contact centre

Calls, WhatsApp and email across a national customer base, in many languages.

Online & app

E-commerce orders, delivery, and post-purchase queries that expect instant answers.

Confidential · Your world
The friction

The experience breaks in the gaps between systems

Where enterprise care teams lose the most time and goodwill today.

Repeated context

Customers re-explain themselves at every handoff between channels and teams.

Agents in ten tabs

Reps stitch together CRM, order, and history data by hand — slow, error-prone, hard to scale.

No single view

Leadership can't see, in one place, where volume, delays and dissatisfaction build up.

Confidential · The friction
The idea

One place for care — with an AI agent working alongside your team

DevRev brings every customer conversation, order, and history together, and puts an AI teammate on top of it.

1

AI answers instantly

Routine questions — order status, policy, delivery — resolved automatically, 24×7, in the customer's language.

2

Agents get a co-pilot

Full context and a suggested reply on one screen. No tab-switching, faster resolution.

3

One customer view

Every channel — boutique, call, WhatsApp, web — in a single unified timeline.

4

Leaders see everything

Live view of volume, effort and satisfaction, so decisions are based on real signals.

Confidential · The idea
● THE PLATFORM

DevRev, at a glance

Customer Apps
Chat
Search
Portal
Voice
Computer
Desktop
Browser
Mobile
MCP
Internal Apps
Support
Build
Grow
Agent Studio
Build vertical agents for your business.
Foundational
Services
Workflows
Automate your routine work.
Analytics
Act on insights across your data.
Connectors
Marketplace
Bi-directional data syncStructured & unstructured data
SalesforceSalesforce
ZendeskZendesk
JiraJira
ConfluenceConfluence
GitHubGitHub
DatadogDatadog
NotionNotion
SharePointSharePoint
G SuiteG Suite
Wherever your team worksNear Real-time Sync
GmailGmail
OutlookOutlook
SlackSlack
Microsoft TeamsMS Teams
WhatsAppWhatsApp
CalendarCalendar
ZoomZoom
Google MeetGoogle Meet
ExotelExotel
MCP
Marketplace
● CUSTOMER STORY

IndiGo · conversational PNR recovery

Industry · Aviation
Navitaire Blue API
Before
Passenger paid, but PNR not generated — L2 agents manually checked Juspay, Navitaire & Blue API. 30 min per case.
After
Under 3 minutes with a single conversational AI workflow.
1
Multi-agent workflow across Juspay + Navitaire + Salesforce
2
Auto-verify payment, booking status, generate PNR
3
Full compliance audit trail
4
Won head-to-head vs Salesforce Agentforce
Resolution time
per PNR case
Before
30 minutes — 3 systems, manual
After
<3 min
30 min → <3 min
resolution time
100%
PNR accuracy
50% ↑
agent productivity
30-seat Customer Payment Desk · ~6,000 tickets / month
● CUSTOMER STORY

Paytm · support at fintech scale

Industry · Fintech
Freshdesk replaced Jira AirSync
Before
~6M support tickets/month on Freshdesk, no insight layer.
After
DevRev as the orchestration layer after deflection — AI routing, summarization, and product insight at fintech scale.
1
AI routing, classification & skill-based assignment
2
Ticket summarization + proactive escalation for premium customers
3
Bi-directional Jira AirSync across support ↔ engineering
4
Automated WhatsApp updates + SLA breach alerts
Running at fintech scale
deployment footprint
Tickets
~6M / month
Objects
30M+ migrated
Agents
1,500+
~6M
tickets / month (scale)
1,500+
agents (scale)
30M+
objects migrated (scale)
Figures represent deployment scale, not outcomes
● CUSTOMER STORY

Arvind Fashions · one AI CX engine

Industry · Fashion & Apparel Retail
Tommy Hilfiger / Calvin Klein Kapture replaced
Before
Fragmented systems across brands, slow WhatsApp & email, no conversational AI.
After
One unified, AI-native CX engine across all brands, with live human fallback.
1
AI query resolution across channels
2
Order tracking & returns/exchanges self-service
3
24/7 multilingual support + size/product guidance
4
Email Agent + Audit Agent; replaced Kapture across Megamart
5
Conversational shopping agent on U.S. Polo Assn. — natural-language product discovery over the live Shopify catalogue
Query resolution mix
after AI deployment
AI
~70% auto-resolved
Human
~30% to live agent
~70%
auto-resolved
~50K+
interactions / month
~30%
CSAT improvement
Support metrics are live outcomes; shopping agent is a scoped POC on U.S. Polo Assn. (Shopify), styling assistant in development
A useful next step

Let's go deep on one or two of your priorities

A focused 45-minute working session — we tailor DevRev to the specific problems you care about most this year.

1

You pick the focus

The 1–2 care priorities on your FY charter that matter most.

2

We tailor a walkthrough

Built around Tanishq's reality — not a generic demo.

3

Bring your team

Add an ops or tech lead so we pressure-test fit together.

Confidential · A useful next step
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