AI Solutions (Ecommerce)

AI Shopping Assistant—Guide Shoppers from Browse to Checkout in Conversation

Teenva AI & Digital Ventures develops AI shopping assistants for D2C brands, marketplaces, and retailers from Bangalore, India. Shoppers ask in natural language and the assistant searches your catalog, compares products, answers size and spec questions, and adds to cart on your Shopify, WooCommerce, or custom ecommerce store—using live product APIs, not made-up SKUs.

Conversational commerce reduces bounce on large catalogs and lifts AOV when the assistant upsells complementary items via product recommendations. Teenva implements RAG on your product feed, cart tools, Razorpay checkout handoff, and WhatsApp shopping where customers already chat.

AI shopping assistant for ecommerce by Teenva AI

Build your AI solution with us

AI shopping assistant—conversational commerce on Shopify, WooCommerce, and custom stores.

sales@teenvaai.com · +91 9572020107

What an AI shopping assistant does

Shopper intentExampleBackend
Discover“Running shoes for flat feet under ₹5k”Catalog search tool + filters
Compare“Difference between Model A and B?”RAG on product attributes
Fit / specs“Will this fit size 42?”Size chart + variant API
Availability“Is the blue M in stock?”Inventory tool
Cart“Add two to cart”Cart API / Shopify Storefront
Checkout“Ready to pay”Redirect / Razorpay link
Support“Return policy for sale items?”Ecommerce FAQ RAG

Answers cite your product pages—prices and stock from APIs at query time.

Features we implement

  • Catalog RAG

    Sync from Shopify, WooCommerce, PIM, or custom DB
  • Semantic search

    “Cozy winter jacket” matches descriptions and tags
  • Variant resolution

    Color, size, SKU selection in chat
  • Product cards

    Image, price, CTA in widget (web/mobile)
  • Cross-sell

    “Pairs well with…” via recommendation engine
  • Session memory

    Preferences within visit; logged-in history (scoped)
  • Human handoff

    Live chat or WhatsApp agent
  • Analytics

    Assisted revenue, add-to-cart rate, top unanswered queries
  • Guardrails

    No medical/legal claims for regulated categories (scoped)
Shopping assistant chat UI

Where it lives

SurfaceIntegration
Storefront widgetShopify theme, Next.js headless
Mobile appCross-platform app chat tab
WhatsAppCatalog messages + cart link (scoped)
Instagram / socialLink to assistant landing (scoped)
In-store kioskVoice + touch (scoped)

Architecture

  1. Catalog sync — scheduled index from Shopify/WooCommerce webhooks

  2. Price freshness — tool call for price/stock, not stale embeddings alone

  3. Eval — “Under ₹X”, “vegan”, “in stock” regression tests

  4. Orchestration — LLM dialog with product search, variant, inventory, and cart tools

Shopping assistant architecture

Use cases by business type

BusinessValue
D2C fashion / beautyStyle and fit guidance; lower returns with size help
ElectronicsSpec comparison; accessory bundles
Home & furnitureDimension and room-fit questions
Large SKU catalogsAlternative to overwhelming filter UI
B2B wholesale (scoped)MOQ, tier pricing via authenticated session
Shopping assistant use cases

Platform integrations

PlatformApproach
ShopifyStorefront API, Admin API, app embed
WooCommerce / WordPressREST API + product index
Custom Laravel / Next.jsYour cart and catalog endpoints
Stripe / RazorpayCheckout after cart tool
Zoho CRMHigh-intent leads from abandoned assist sessions

Shopify plugin not enough?

We build assistants that understand your bundles, subscriptions, and B2B rules—not only generic FAQ bots.

Shopping assistant vs other ecommerce AI

ProductFocus
AI shopping assistant (this page)Conversational discover → cart
Product recommendation engineProactive slots (“You may also like”)
Visual product searchSearch by image upload
Ecommerce FAQ chatbotPolicy and post-order support
AI cart recoveryAbandonment emails/WhatsApp

Often deployed together—assistant for discovery, recommendations at checkout, FAQ post-purchase.

Why Teenva AI

  • Store + AI one team

    Web development and AI, not bolt-on agency
  • India checkout

    UPI flows via Razorpay integration
  • Catalog-aware

    Embeddings + live API for stock/price
  • Measurable ROI

    Assisted conversion tracking
  • Ops support

    Managed IT support when catalog or APIs change
Why Teenva AI for AI shopping assistant

Delivery process

Shopping assistant implementation process
  1. Discovery

    catalog size, platform, top shopper questions

  2. Catalog pipeline

    ingest, chunk, attribute mapping

  3. Tool design

    search, variant, cart APIs documented

  4. UX

    widget vs full-page assistant; mobile layout

  5. MVP intents

    discover + add to cart + FAQ handoff

  1. Eval

    price filter, stock, compare accuracy

  2. Pilot

    traffic slice or single category

  3. Launch

    full site; monitor assisted revenue

  4. Iterate

    new categories, visual search link (optional)

Mobile storefront widget

Mobile shopping assistant widget

Frequently asked questions

Apps are fast; custom fits headless, B2B, multi-store, and deep cart rules.

Search tools return real SKUs; LLM only narrates tool results.

Inventory tool; assistant does not offer OOS variants.

Yes with WhatsApp API integration and catalog policies.

Hindi, English, etc. (scoped) with separate eval sets.

Complements search—some users prefer chat; keep both.

Scoped—recurring cart rules in tool layer.

Assisted sessions, add-to-cart rate, revenue attributed to assistant.

6–10 weeks MVP on Shopify/custom with API access.

Automated sync + optional managed IT support.

Build your AI shopping assistant

Conversational product discovery, compare, and checkout—grounded in your catalog APIs on web and WhatsApp.

Build your AI solution with us

Ready to take your business to the next level?