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E-commerce & Retail

AI for e-commerce that protects margin not just conversion.

We embed engineers inside D2C brands, marketplaces, and omnichannel retailers for 4 weeks walk warehouses, read return reasons, shadow customer-service queues, audit PDPs. Then we ship conversion-moving, margin-protecting AI every month. 26% return-rate reduction is not a slide it is what a D2C apparel brand measured in 120 days.

reduction in return rate

ROAS lift on paid search

first-contact resolution on CX

Root Causes

Why most "AI for commerce" plugins leave money on the table

The model is generic, your catalogue isn't

Out-of-the-box search and recommendations don't know your brand taxonomy, size logic, or margin structure. You get a 3% lift where 20% was possible.

Returns data sits in a warehouse CSV

The richest signal in commerce why the customer returned is in unstructured text nobody reads. Merch keeps guessing.

CX is stitched with 5 SaaS tools

Gorgias + Zendesk + a WhatsApp BSP + an IVR + an internal CRM. Context is lost at every handoff. The customer repeats themselves, and the agent apologises.

Performance marketing optimises last-click

Meta and Google are fed a vanity conversion event. The AI bidding layer optimises for abandoners. Real LTV is left on the table.

Impact Dashboard

Every metric is a problem we solved.

Real numbers from live e-commerce & retail deployments.

Return rate climbs every quarter

0%
reduction in return rate
Return-Reason Intelligence

CX volume outpaces headcount

0%first-contact resolution
Omnichannel Support Copilot

PDPs decay, conversion silently drops

0%
7550250
conversion lift on refreshed PDPs
AI-Generated PDPs

COD-RTO eats 3% of topline

0%
reduction in COD-RTO losses
RTO Prediction at Checkout
Reality Map

What your team actually says.

"My return rate is 14% and nobody knows why."

VP Operations

"CX volume is up 40%. Headcount is up 10%."

Head of CX

"Our PDPs haven't been refreshed since launch."

Head of Merch

"Search no-results is at 11% of queries."

Growth PM

"COD-RTO is eating 3% of topline."

Head of Logistics

"ROAS is trending down quarter over quarter."

Performance Marketing Lead

Real Impact

Use cases that move the needle.

01

01Return-Reason Root-Cause Analysis

LLM clusters open-text and image-based return reasons; routes fixes to merch, ops, or supplier.

26% reduction in return rate
02

02Omnichannel CX Automation

Unified WhatsApp, email, chat, and IVR support with AI drafts and auto-resolves.

62% first-contact resolution
03

03AI-Generated PDPs at Scale

Titles, bullets, FAQs, alt-text, schema markup refreshed across 40k+ SKUs.

18% conversion lift on refreshed PDPs
04

04Semantic Search & Personalised Merchandising

Intent-aware retrieval and ranking per user, category, and context (time, device, past purchases).

23% lift in search-led conversion
05

05Dynamic Pricing & Promotion

Per-SKU, per-channel elasticity-aware pricing and coupon targeting.

4–8% margin lift
06

06Fraud & RTO Prediction

Predicts return-to-origin risk at checkout; suggests COD-to-prepaid nudges and delivery-partner routing.

32% reduction in COD-RTO losses
The 9AI Model

Four pillars. Translated for E-commerce.

01

An Engineer Inside Your Ops, Merch, and CX

Our Forward Deployed Engineer walks the warehouse, shadows CX queues, sits with merchandisers, and reads performance-marketing dashboards. They understand why your "oversized fit" SKUs return at 22%.

02

Commerce-Grade R&D

Our Research Engineers run 2-week sprints on your catalogue and session data query mining, PDP decay modelling, return-clustering, RTO prediction so the model works on your assortment, not a demo dataset.

03

A Working Release Every 30 Days

Mid-month A/B test on a cohort. End-of-month rollout to a category. Every release is measured on conversion, AOV, return rate, CX cost-per-ticket, and LTV.

04

We Own the Contribution-Margin Number

We don't bill hours. Every month you get delta on return rate, conversion, AOV, CAC, CX FCR, and contribution margin. If the numbers aren't moving, you'll know.

The 4-Week Audit

What happens in the first 30 days.

1
Week 1

Commerce Journey Walk & Data Inventory

Our engineer walks warehouses, shadows CX, sits with merch, and maps your commerce stack storefront, PIM, OMS, WMS, CRM, ad platforms.

2
Week 2

Unit Economics & Return-Reason Deep-Dive

Per-SKU contribution margin analysis. Return-reason clustering. CX queue economics. PDP decay heatmap.

3
Week 3

AI Opportunity Scoring & Mockups

Each opportunity scored by contribution-margin impact, feasibility, and data readiness. Mockups validated with merch, ops, and CX leads.

4
Week 4

Strategy Deck & Roadmap Delivery

12-month AI roadmap, cost-benefit case, integration architecture, and measurement plan handed over. Yours to keep.

What you walk away with

End-to-end journey SOPs across ops, merch, CX, and growth
Per-SKU and per-category unit-economics model
Return-reason cluster taxonomy and ownership map
Storefront / PIM / OMS / WMS integration architecture
12-month roadmap with contribution-margin targets
Mockups validated for top 3 use cases
Compliance & Stack

We speak your regulatory language.

Regulations & Certifications

  • Consumer Protection (E-Commerce) Rules 2020 — Indian e-commerce compliance
  • DPDPA 2023 — Digital Personal Data Protection Act
  • GST — Tax compliance on invoices and returns
  • Legal Metrology — Packaged commodity rules
  • PCI-DSS — If storing card data; most use tokenised PSPs

Data & Protocol Standards

  • schema.org / Product, Review, Offer
  • GS1 / GTIN
  • EDI (for enterprise retail)
  • OpenAPI (store integrations)
  • GA4 / server-side events

Enterprise Systems We Integrate

  • Storefront Shopify, Magento, WooCommerce, custom
  • OMS Unicommerce, Increff, Vinculum, custom
  • WMS Clickpost, Shiprocket, Delhivery, Shadowfax
  • CRM / CX Freshdesk, Zendesk, Gorgias, WATI
  • Marketplaces Amazon, Flipkart, Myntra, Meesho, Nykaa
  • Ad Meta, Google, Amazon Ads, criteo
FAQ

Questions we hear on the shop floor.

Start here

Book the 4-Week E-commerce Audit

Marketplace & D2C native. Shopify, Magento, custom-stack ready.

Not ready yet?

See how it worked for The House of Things

96% faster search, ₹7.5L/month savings, 10x efficiency gains.

We built a vision-powered search engine for The House of Things that lets shoppers find products by image trained on their catalogue, tuned for their brand. Read the full build.

Read the The House of Things case study

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Embedded AI Growth Office.

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9AI Logo

Embedded AI Growth Office.

We turn your company into an AI Native company.

Company

AboutCase StudiesContactBlogIndustries

Resources

Media & NewsCareersCrunchbase
ISO Certified
team@9ai.in
TwitterInstagramLinkedInWhatsAppFacebookYouTube

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