AI Transformation for E-Commerce

Your Store Runs on
Manual Work. Fix That.

We build AI agents that handle your customer support, catalog operations, and conversion optimization, so your team can focus on growth.

8% CR lift|1.6X revenue growth|100+ hrs/mo saved
Book a 15-Min Call

Sound Familiar?

This Is What Manual Operations
Look Like at Scale

Monday, 9:14 AMCustomer Support

A customer wants to know where their order is.

Your team checks the store dashboard. Then the logistics tracker. Then a spreadsheet someone forgot to update. Three systems. Twenty minutes. One answer that might already be outdated by the time they reply.

Tuesday, 2:30 PMCatalog Operations

A brand sent their new catalog last month.

200 products. Your team is still on page 43, manually typing product names, specs, and prices into your store. Half the product data fields are empty. None of it is structured for AI shopping agents.

Wednesday, 11:00 AMSales Leakage

A customer asked about a product on WhatsApp.

Nobody saw it until Thursday. By then, they bought from someone else. Your team was busy answering "where is my order?" for the 47th time this week.

Every growing e-commerce brand hits these walls. The question is whether you throw more people at it, or let AI handle it.

What if none of that
was manual?

Before

Customer asks "where is my order?"

After

AI answers in seconds, pulling from every connected system

Before

Brand sends a 200-product PDF catalog

After

200 products live in your store by tomorrow, with full metadata and SEO

Before

Product inquiry lands in WhatsApp

After

Routed to your sales team in real-time, before the customer moves on

This is not a roadmap. These systems are deployed and running today.

What Changes

Three AI Systems.
Three Operational Bottlenecks Eliminated.

Support That Never Sleeps, Sales That Never Miss

Your AI agent handles 70-80% of customer queries across WhatsApp, chat, and email. When someone asks about a product, the inquiry gets routed to your sales team in real-time, not discovered two days later.

Support costs drop. Sales pipeline fills. Your team focuses on high-value conversations.

Catalogs That Build Themselves

Brand PDFs go in, fully structured products come out: metadata, SEO titles, verified images, and data formatted for AI shopping agents like ChatGPT Shopping and Google AI Overviews.

Weeks of manual work become hours. Your catalog is complete, accurate, and discoverable.

Conversion Decisions Backed by Data, Not Gut

An AI agent monitors your heatmaps, session recordings, and on-site search data continuously. It tells you what is broken, what to fix, and why, in real time.

No more annual redesigns based on opinions. Your store improves every week.

Real Numbers

Measured, Not Estimated

From a live e-commerce store with 14,000+ SKUs and 25 brands.

3 hrs → 15 min
Sales lead qualification time per person, per day
70-80%
Customer queries resolved without a human
100+
Hours saved per month on catalog operations
8%
Conversion rate lift after AI-driven CRO

Case Study

14,000 SKUs. 25 Brands. One AI-Powered Operations Overhaul.

A multi-brand sports marketplace drowning in manual catalog work, slow support, and gut-feel design decisions.

8%
Conversion Rate Jump
1.6X
Revenue Growth
5%
Add-to-Cart Increase
100+
Hours/Month Saved

The Challenge

  • 14,000+ SKUs across 25+ brands, catalog managed manually from PDFs
  • 100+ hours/month spent on data entry, image sourcing, and vendor sync
  • Wrong product images causing customer complaints and returns
  • No heatmap data, no session recordings, redesigns based on opinions

What We Built

  • AI catalog pipeline: brand PDFs to store with structured product data, SEO, and verified images
  • AI WhatsApp support agent handling order tracking, product inquiries, and sales routing
  • Full CRO revamp driven by heatmaps, session data, and on-site search analytics
  • AEO-ready product structure for ChatGPT Shopping and AI discovery
  • 6 brand catalogs processed, 211 wrong images caught and fixed via automated audit
  • 25 brands onboarded in 4 weeks

Our customer data was scattered across multiple systems. Customers would ask about their order and our team had to check three different places before they could give an answer. Plasho integrated everything into one AI agent that pulls real-time data and responds instantly.

On the sales side, our team of three used to spend an hour each, every day, just finding and qualifying leads. Now inquiries get routed directly to their WhatsApp. They spend 15 minutes understanding the requirement and pick up the phone. The hours we have saved are significant.

KS
Operations Team
Kibi Sports, Multi-Brand Sports Marketplace

How We Work

From first call to deployed AI, most brands are live within 3 weeks.

1
Audit

We plug into your store data, support tickets, catalog gaps, and conversion funnel. You get a report showing exactly where AI saves you the most time and money.

2
Deploy

We build and deploy AI agents into your live operations: support bots, catalog pipelines, CRO monitoring. Most systems go live within 2-3 weeks.

3
Compound

The AI systems learn and improve. We measure impact, tune responses, expand coverage. Your operations get better every week, not just at launch.

About Plasho

Built by Operators, Not Consultants

Plasho was founded by Ekata Singh, who previously built and shipped products at Sprinto and BNP Paribas, and took a broken SaaS platform to 5 live organizations. GrowthX Fellow. The team brings the same systems thinking to e-commerce.

We have deployed AI agents in production, processed 14,000+ SKU catalogs with AI, and built multi-agent systems with real code on GitHub. Not slide decks about AI. Running systems.

Your competitors are still doing this manually.

15 minutes. We will look at your store, tell you where AI makes the biggest impact, and whether we are the right fit. No pitch deck, no fluff.

Book a 15-Min Call