Order status
Lookup the order, explain the current state, and avoid a vague "someone will get back to you."
Voice and chat support for ecommerce operations
Ecommerce support AI built for the messy real world.
Omni Support handles routine order, delivery, and product questions across phone and chat, then hands off messy cases with context. We configure it around your actual support workflow, not the other way around.
Built for teams where orders, delivery, product questions, and relationship-sensitive handoffs all collide.
1,597support conversations handled in 30 days
1,172 minvoice minutes handled with customer context
64.4%answered or completed; follow-ups stay visible
Team credibility
Built by a world-class team from
Experience across marketplaces, infrastructure, AI products, and enterprise workflows.
LinkedIn
Palantir
Google Gemini
Messy real-world workflows
The calls that do not fit cleanly into a helpdesk article.
Customers call because they need context: order status, delivery timing, product fit, quote questions, or the right person. Omni Support is designed around that operational mess.
Delivery ETA
Tell customers what is known, capture what is missing, and create a clean follow-up when courier data is not enough.
Quote intent
Gather product, quantity, urgency, and account context before routing the buyer to sales.
Human handoff
Route named-person and sales calls quickly while preserving what the customer already said.
Failed lookup
When phone, email, or order number does not match, the agent captures the failed attempt instead of losing the trail.
Exceptions
Damaged items, missing deliveries, cancellations, and policy calls stay human-led with better context.
White-glove implementation
Built around your workflow, not forced onto it.
Generic AI support asks your team to adapt to the tool. Omni Support maps how your operation already handles customers, then configures the agent around your rules, systems, and handoffs.
Workflow mapping
Understand how your team handles orders, delivery, product questions, exceptions, sales calls, and named-person handoffs today.
System context
Connect the order, catalog, helpdesk, delivery, phone, and chat context needed to answer or route the conversation correctly.
Routing rules
Define what gets answered, what needs a ticket, what should reach sales, and what stays human from the first minute.
Continuous tuning
Review real conversations, improve lookup behavior, and expand automation only when the customer experience stays intact.
Order system
Catalog
Helpdesk
Delivery
Phone
Chat
Why Omni Support is different
Not another generic support bot.
The difference is not that we add AI to support. The difference is that we build the support agent around the workflow, context, and human handoffs that already make your customer relationships work.
| What matters | Omni Support | Generic AI support | Answering service |
|---|---|---|---|
| Workflow fit | Configured around your order, delivery, routing, exception, and handoff rules. | Usually built around a helpdesk article, generic prompt, or shallow bot flow. | Human scripts, but little automation or repeatable system context. |
| Phone and chat | One operating layer across voice and chat, with the same customer context. | Often strongest in chat and weaker when calls involve lookup or routing. | Usually phone-first, with notes copied into another system later. |
| System context | Uses order, catalog, helpdesk, delivery, and customer context before deciding. | May answer from FAQs even when operational data is what matters. | Depends on staff access, manual lookup, and training consistency. |
| Handoff quality | Sends reason, lookup result, urgency, customer context, and next action. | Creates generic summaries or tickets that still need investigation. | Transfers or messages the team, often with inconsistent context. |
| Rollout risk | Starts with call-pattern analysis and off-hours testing before expanding. | Can become a broad bot launch before real edge cases are understood. | Low technical risk, but ongoing cost and quality vary by staffing. |
| Customer relationship | Automates safe repetition and keeps sensitive moments human-led. | Can over-deflect when the customer actually needs a person. | Human-led, but slower to scale and harder to analyze systematically. |
Customer-first automation
Customer experience comes first. Automation follows.
The goal is not to hide your team behind AI. It is to remove repeated lookup work, prepare clean context, and let people spend more time on revenue, exceptions, and customers who need a person.
Routine status, document, and delivery questions are handled only when the lookup is reliable.
Sales, quote, and product questions arrive with caller context before your team responds.
Exceptions, failed lookups, policy calls, and sensitive relationships stay human-led.
How it works
From call patterns to live support in four low-risk steps.
The first step is not a heavy software rollout. It is a focused read on where support time is going, what can be automated safely, and where your team should stay close to the customer.
Step 01
Find the repetitive work
Share call transcripts if available, or call tags and support notes if not. Omni Support returns the breakdown, potential savings, and what should stay human.
Step 02
Customize around your workflow
Map order, catalog, helpdesk, delivery, routing, exception, and handoff rules before the agent talks to customers.
Step 03
Start off-hours
Test in a lower-risk window, review real outcomes, and tune lookup, language, escalation, and handoff behavior.
Step 04
Expand into business hours
Auto-resolve reliable categories and hand off revenue-sensitive or exception-heavy cases with context.
Next conversation
Let’s review your support flow.
Tell us where phone and chat support feels repetitive, risky, or hard to hand off. We will reply with the first places Omni Support could help without weakening the customer relationship.
Start with your current workflow
No need to change tools before we understand how orders, delivery, product questions, and handoffs work today.
Use Call Breakdown when it helps
The diagnostic page stays available as a secondary artifact, but the main action is a direct conversation.