Solutions

Built for how you sell.

Six industries, four roles, one agent. See the playbook that matches your store and your seat.

By industry

Every category has a different failure mode.

The problem

High AOV means high doubt. A ₹40,000 cart is not an impulse buy, so shoppers ask, compare, screenshot, send it to their sister, and vanish. Nobody follows up, because following up properly takes twenty minutes a cart.

The Eldor play

AI search that understands occasion and budget, try-on that removes the last doubt, and a WhatsApp follow-up referencing the exact piece they were looking at rather than a generic discount blast.

3X revenue · Moltbox

Where it actually acts

"Something for a green saree under ₹2,000" returns the right pieces, not a keyword match
A ₹25,000 cart goes quiet: it reserves stock for two hours and says so, which converts better than a coupon
Gold rate and making-charge questions answered from your own pricing rules, never improvised
Care instructions and insurance upsell in the same thread, weeks later

The stack it plugs into

Shopify with attribute-level catalog detail, WhatsApp Business, Instagram DMs, Delhivery or Bluedart tracking

Worth knowing

Try-on needs clean product photography on a plain background. If your catalog is mostly lifestyle shots, budget a shoot before expecting it to carry conversions.

By persona

What Eldor gets you, by seat.

CX heads

"Resolution rate up, cost per ticket down, CSAT protected."

78% auto-resolution with guardrails
One inbox, every channel, full audit trail
Escalations arrive pre-summarised with next best action

Your queue stops being a wall of repeated questions. What reaches a human is the judgment work, arriving with the history already read and a recommended action attached.

What to measure in 30 days

Deflection rate by intent, not just overall
First-response and full-resolution time, split AI vs human
CSAT on AI-resolved threads against human-resolved
Which intents escalate most, so you know what to document next

Worth knowing. Set escalation thresholds conservatively in week one. It is far easier to loosen them once you trust it than to win back a customer it got wrong.

Ecommerce heads

"Revenue per session up, CAC payback faster."

31% cart win-back on WhatsApp
+23% AOV from in-chat selling
Attribution you can show the CFO

Conversation becomes a revenue channel you can report on, rather than a cost centre sitting in a different tool from the one you plan spend in.

What to measure in 30 days

Revenue per conversation, by channel
Recovered cart value against the same window last month
AOV in chat-assisted sessions vs unassisted
Where recovery beats a discount, so you stop discounting by default

Worth knowing. Judge it against your existing recovery flow, not against zero. If you already run good abandoned-cart email, the incremental lift is the number that matters.

Founders

"The store runs without them at 2am."

Autonomous from day one, approvals where you want
Ask Eldor for any number, any time
Live in a day, not a quarter

The 11pm DM is answered before you see it, and the questions you used to answer personally are handled in your voice, with the ones worth your attention flagged.

What to measure in 30 days

Hours a week your team spends on repeat questions
Orders captured outside business hours
How often you override the agent, and on what
Time from customer question to answer, end to end

Worth knowing. Approve its voice properly during onboarding rather than skipping it. Every correction trains it, so the first fortnight of feedback sets the tone for everything after.

Support leads

"A calmer queue and a team that handles judgment, not repetition."

Repetitive 78% handled before the queue
Knowledge base that learns from corrections
SLA tracking and sentiment flags built in

Your team stops copy-pasting the same six answers. Their day becomes the hard conversations, with the routine handled and the context already assembled.

What to measure in 30 days

Ticket volume reaching a human, by intent
Knowledge coverage score and the top ranked gaps
Handle time on escalated threads, which should fall as context improves
Agent sentiment: is the work more interesting, or just less

Worth knowing. Your team needs to see corrections take effect or they will stop giving them. Show the knowledge graph improving in the first fortnight.

Tell us your category. We'll show the exact play.

Book a demo and we'll walk through your industry's playbook live.