Ask Miyya AI shopping assistant by Niraltek
Interactive preview · Sample products, no live catalog
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AI shopping for modern commerce

Miyya AI Shopping Assistant for WooCommerce & eCommerce

Miyya turns product questions into guided discovery, relevant recommendations and confident buying decisions. Give every visitor an easier path through your catalog, while your team learns what shoppers need.

Try the live demo (opens in a new tab) Onboard my store
COMING SOONWOOCOMMERCE FIRSTCONVERSATIONAL AIMERCHANT INTELLIGENCE
Illustrative cobalt blue lightweight jacket
One useful answerFrom a shopper's words to a relevant product
01 / Product evaluation

Answer the question behind the click.

Sizes, colors, fit and product details belong in the same conversation. Miyya keeps the shopper's preferences in mind and can refer to connected catalog data when presenting an option.

Close view of the sample blue jacket
Illustrative product detail The lightweight layer Color Size
Live variant and stock checks depend on the store connection.
02 / Comparison & selection

Keep the conversation moving toward a choice.

Shoppers can compare the options that matter to them, ask for an alternative and discover a sensible pairing. The goal is a shorter route from consideration to cart.

Illustrative cream sneakers against a warm light background
Contextual recommendation Complete the look, without starting over.

A pairing that follows the shopper's earlier jacket request.

03 / The merchant view

Every shopper question is a signal.

See the conversations behind product interest, repeated objections and missed searches. Track AI usage and credits in the same dashboard used to manage your store connection.

Signals Miyya captured in this conversation Illustrative
  1. I need a jacket for weekend travel. Intent Suggested action: Feature light layers on travel pages
  2. Blue, size M, and something lightweight. Preference Suggested action: Surface blue, size M options first
  3. Is size M available, and what colors are there? Availability Suggested action: Keep size and color availability clear on the product page
  4. Could I compare it and see something to wear with it? Pairing Suggested action: Bundle the jacket with the cream sneakers
Conversation history Every thread kept for review, next to the product it was about.
AI usage & credits Tracked in the same dashboard as your store connection.
Illustrative layout; no live store is connected.
Meet Miyya

More helpful than a search box. More focused than a chatbot.

Miyya is an AI Shopping Assistant: a conversational layer over your store catalog. It understands a shopper's goal, asks for missing details, presents relevant products and supports the decision that follows. For a WooCommerce merchant, that means the product feed, variations and shopping context can shape each answer.

Traditional search

“Blue jacket”

  • Matches the words in a query
  • Shows a results page to filter manually
  • Starts again when the shopper changes direction
Useful when someone knows exactly what to type.
Miyya AI Shopping Assistant

“I need a light layer for travel.”

  • Interprets purpose, budget, size and preferences
  • Explains relevant products and alternatives
  • Remembers context for the next question
Designed for discovery, evaluation and purchase guidance.
Why merchants need Miyya

Make every visit more productive.

Shoppers rarely arrive with a perfect product name. Give them a path from an uncertain question to a considered choice, while your team gains useful signals from each interaction.

The frictionShoppers can’t describe what they want in filters.

Personal shopping at scale

Use the shopper's needs and preferences to narrow the catalog without asking them to master filters.

The frictionHesitation stalls the purchase.

More confident decisions

Explain fit, features and differences at the moment hesitation appears, helping visitors move forward.

The frictionAdd-on suggestions feel random.

Relevant basket growth

Suggest complementary products and bundles when they genuinely serve the shopper's original goal.

The frictionEvery new question means starting over.

Fewer abandoned journeys

Keep discovery, comparison and purchase questions in one thread instead of making visitors start over.

The frictionRoutine questions queue up for your team.

Faster first answers

Handle routine product questions promptly and reserve human attention for exceptions and higher-value help.

The frictionVisitors leave without a trace of what they wanted.

A reason to return

A useful experience builds trust. Understand recurring interests to improve merchandising and future visits.

From landing to cart

One continuous shopping journey.

At each step, Miyya pairs the shopper's goal with an appropriate response and a clear business purpose. The exact journey can be tailored to your catalog and checkout flow.

Discover Steps 01–03

Understand the need before showing products.

  1. Step 01: User lands

    Customer goalFind a useful starting point

    Shopper says: “Hi, I’m not sure where to start.”

    Miyya respondsOffer a relevant prompt or invite a natural question.

    Business outcome

    Engagement begins without a complicated search.

  2. Step 02: Discovery

    Customer goalDescribe a need in plain language

    Shopper says: “I need a jacket for weekend travel.”

    Miyya respondsClarify category, use, size, budget and preferences.

    Business outcome

    A more focused product set.

  3. Step 03: Presentation

    Customer goalSee suitable choices

    Shopper says: “Blue, size M, and something lightweight.”

    Miyya respondsShow products with a brief reason each one fits.

    Business outcome

    Relevant items gain visibility.

Decide Steps 04–06

Resolve doubts and narrow to one choice.

  1. Step 04: Evaluation

    Customer goalResolve doubts

    Shopper says: “Is size M available, and what colors are there?”

    Miyya respondsAnswer catalog-backed questions on details and variants.

    Business outcome

    Less friction before selection.

  2. Step 05: Comparison

    Customer goalUnderstand tradeoffs

    Shopper says: “Could I compare it with another style?”

    Miyya respondsCompare shortlisted items on the attributes that matter.

    Business outcome

    A clearer buying decision.

  3. Step 06: Selection

    Customer goalChoose a favorite

    Shopper says: “I’ll take the blue one. What goes with it?”

    Miyya respondsRemember the shortlist and suggest a fitting alternative or add-on.

    Business outcome

    More relevant basket opportunities.

Buy Step 07

Hand a confident shopper to your cart.

  1. Step 07: Add to cart

    Customer goalComplete the next step

    Shopper says: “Add it in size M.”

    Miyya respondsGuide the shopper to the selected variant and cart action.

    Business outcome

    A smoother path to checkout.

Ready for checkoutIllustrative basket
  • The lightweight layerBlue · Size M · chosen in conversation
  • The clean cream sneakerSuggested pairing · added by the shopper

Checkout stays in your WooCommerce store. Prices and stock come from the connected catalog.

Walk this route yourself Try the live demo (opens in a new tab) Onboard my store
What Miyya can do

Practical intelligence at each decision point.

Start with product discovery and expand to the buying and service workflows that suit your store.

01 / FIND Core

Smart product search

Interpret natural language and layered requests.

Example exchange

Shopper: “Something light for a weekend trip, in blue.”

Assistant: Here are lightweight layers that fit travel use, in blue.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromCatalog sync

02 / EXPLAIN Core

Product presentation

Show items with clear, contextual reasons.

Example exchange

Shopper: “Why this one?”

Assistant: It’s a lightweight layer in the blue you asked for, suited to travel.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromCatalog sync

03 / MATCH Core

Personal recommendations

Use preferences and conversation context.

Example exchange

Shopper: “Show me more like the one I liked.”

Assistant: Based on your picks so far, here are similar light layers.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromCatalog + conversation context

04 / DECIDE Core

Product comparison

Surface differences between considered items.

Example exchange

Shopper: “How do these two compare?”

Assistant: Side by side on weight, fit, color options and price.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromCatalog attributes

05 / BUY Core

Purchase guidance

Help select a variant and reach the cart.

Example exchange

Shopper: “I’ll take it in M.”

Assistant: Blue, size M selected. Ready to add to your cart.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromYour store’s cart flow

06 / VERIFY Store data

Inventory awareness

Check connected availability before recommending.

Example exchange

Shopper: “Is size M in stock?”

Assistant: Let me check the connected store before I answer.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromLive inventory data

07 / UNDERSTAND Store data

Shopping intent

Recognize discovery, comparison and support needs.

Example exchange

Shopper: “Just browsing for a gift.”

Assistant: Happy to help you browse. Who is the gift for?

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromConversation context

08 / SUPPORT Extension

Order questions

Connect tracking data when an integration permits it.

Example exchange

Shopper: “Where is my order?”

Assistant: I can look that up once order tracking is connected.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromOrder-tracking integration

09 / RESOLVE Extension

Returns & refunds

Guide policy questions and approved workflows.

Example exchange

Shopper: “Can I return it if it doesn’t fit?”

Assistant: Here’s the store’s returns policy and how to start a return.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromReturns policy & workflow

10 / ESCALATE Extension

Human handover

Pass context to a person when the flow calls for it.

Example exchange

Shopper: “I’d like to talk to a person.”

Assistant: Connecting you to the team, with this conversation attached.

Where it fits in the journey
  1. Discover
  2. Decide
  3. Buy
  4. After sale

Works fromSupport desk integration

Availability of service, inventory and handover workflows depends on the store's data, integrations and rollout scope.

Merchandising & personalization

Make good products easier to find together.

Catalog rules and shopper context can shape ranking and cross-sell suggestions. Configure the balance between relevance, availability and commercial priorities for your WooCommerce business.

Personalized rankingTrending productsRecently viewedFrequently bought togetherSmart bundlesAI cross-selling
Real shopping moments

Different catalogs. The same need for guidance.

These examples show how a conversation with Miyya can adapt to the questions shoppers actually bring.

Hands browsing sweaters on a boutique clothing rail

Fashion

  1. Shopper asks“A jacket for weekend travel, size M”
  2. Miyya helps withLight layers and fit guidance
  3. ResultA chosen jacket
Laptop and monitor on a tidy design workspace

Electronics

  1. Shopper asks“A laptop for design work under my budget”
  2. Miyya helps withA tradeoff comparison
  3. ResultA suitable model
Hands holding skincare jars and a serum bottle

Beauty

  1. Shopper asks“A gentle routine for dry skin”
  2. Miyya helps withRelevant product details
  3. ResultA considered set
Spaghetti, eggs, garlic and herbs laid out on a table

Grocery

  1. Shopper asks“Ingredients for a quick pasta dinner”
  2. Miyya helps withA practical bundle
  3. ResultItems added together
Minimal white desk and chair in a bright small room

Furniture

  1. Shopper asks“A compact desk for a small room”
  2. Miyya helps withDimension checks
  3. ResultA suitable choice
Hands unboxing a skincare bottle from a branded box

D2C brands

  1. Shopper asks“Which version is right for me?”
  2. Miyya helps withA use-case comparison
  3. ResultThe right variant
Miyya shopping intelligence

Learn from the questions your catalog cannot answer yet.

A merchant view can connect conversational signals to product and funnel decisions: what people ask, where they hesitate and which items draw attention.

The panel shows proposed insight areas. Reporting depth depends on the connected store, consent and implementation scope.

Miyya · Merchant intelligence Illustrative modules · sample data

Customer intent

What shoppers are trying to achieve.

Conversion funnel

Where conversations progress or stop.

Popular queries

Questions appearing again and again.

No-result searches

Demand the catalog did not satisfy.

Product interest

Items viewed or discussed most.

Cart signals

Objections before checkout.

AI performance

Usage, resolution and feedback.

Revenue analytics

Attribution where tracking allows.

Frequently asked questions

A few useful answers before we talk.

What is Miyya?

Miyya is Niraltek's AI Shopping Assistant for WooCommerce and eCommerce stores: a conversational guide that helps visitors describe what they need, discover relevant products and resolve questions before buying. It draws on connected store information rather than a generic script.

How is Miyya different from a standard chatbot?

A standard bot often follows preset support paths. This experience is designed around product discovery, evaluation, comparison and purchase decisions, while retaining the shopper's context across follow-ups.

How will Miyya connect to WooCommerce?

The planned Miyya WooCommerce plugin handles store connection, product sync and widget presentation. The assistant service uses approved catalog data to guide the shopper; rollout details are confirmed during onboarding.

Will it know current prices, sizes and stock?

Answers depend on the quality and freshness of connected product and variation data. The assistant should verify availability before presenting it as fact and make uncertainty clear when a field is missing.

Can shoppers compare and shortlist products?

The intended journey supports comparing relevant items and keeping a shortlist during the session. The exact presentation can reflect your catalog's important attributes and variant structure.

Can it help a shopper add to cart?

It can guide selection of a product and variant and lead the shopper to the store's cart flow. Any direct cart action must use the merchant site's approved integration.

What about order tracking, returns or a human agent?

Those are configurable extensions. They require access to the appropriate order, policy or support systems and will be scoped separately from product discovery.

Can we control recommendations and brand voice?

Merchant rules, catalog attributes and conversation guidance can shape the experience. We would agree on ranking priorities, restricted claims and escalation paths during configuration.

What will merchants see in the dashboard?

The merchant view is intended to cover conversation history, product interests, AI usage and credits. Further analytics depend on instrumentation, consent and the data available from the store.

Is there a free plan or a launch date?

We are inviting WooCommerce merchants to early access. Use “Onboard my store” to request an early-access invitation, or open the live demo store to try the assistant first; eligibility, duration and pricing will be shared before activation. There is no permanent free tier announced.

WooCommerce early access

Be among the first to bring Miyya to your store.

Show us your store and the questions your shoppers ask most. We will discuss an early-access trial or a tailored walkthrough and define the right starting scope together.

Not ready to share details? Chat with Miyya on our demo store first. Try the live demo (opens in a new tab)
Early access is by request. Trial terms and availability will be confirmed before activation.

Onboard my store

Bring Miyya to your shop. Takes under a minute. We reply personally, no automated sequences.

We use these details only to follow up about onboarding.