--- title: AI in Retail & E-commerce description: "Build AI in retail and e-commerce with intent search, product recommendations, shopping assistants, visual search, forecasting, and full source code ownership." url: https://miracuves.com/service/ai-in-retail date_modified: 2026-09-29 author: miracuves language: en_US --- Industry AI · Retail & E-commerce # AI in Retail & E-commerceSearch · Recommendations · Assistant · Forecasting Miracuves builds AI in retail and e-commerce two ways: on a ready-made commerce base from $2,799 whose AI module already drafts product copy with your own OpenAI key, or as custom work of 2-8 weeks that adds intent search, recommendations, a shopping assistant, visual search and demand forecasting to the store you run today. [WhatsApp - Talk to Our Team](https://wa.me/919830009649)[See the Commerce Bases](#deployed) Reviewed on Clutch9,000+ Projects Delivered[See past platform builds →](https://miracuves.com/portfolio/) - AI Copy in the Base - Custom AI in 2-8 Weeks - From $2,799 - 100% Source Code **$2,799**Commerce bases from**2-8 weeks**Custom AI layer**6 days**Build time on a ready-made base**100%**Code, prompts and test sets yours AI catalog copy ships in the Amazon, Flipkart and Etsy bases Intent searchRecommendationsShopping assistantDemand forecasting Commerce bases[Amazon Clone](https://miracuves.com/amazon-clone/)[Flipkart Clone](https://miracuves.com/flipkart-clone/)[Etsy Clone](https://miracuves.com/etsy-clone/) - **$2,799**Commerce base price - **6 Days**Base build, FACT-005 - **2-8 Weeks**Custom AI layer - **35+**Industries served - **100%**Source code yours More than 6,000+ Companies Trust us Worldwide [![Miracuves Ranked among top 1000 companies globally by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Clutch-top-1000-company.webp "AI in Retail & E-commerce 1")](https://clutch.co/profile/miracuves-solutions#reviews) [![Miracuves is a top-minus service provider in the United States by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-clutch-top-managed-service-provider-US.webp "AI in Retail & E-commerce 2")](https://clutch.co/profile/miracuves-solutions#reviews) ![MediaCube is the best managed IT service provider in New York City by Expertise.com](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Expertise-Provider.webp "AI in Retail & E-commerce 3") ![MiraQs as an official member of Forbes Business Council ](https://miracuves.com/wp-content/uploads/2024/03/Mircuves-Official-Memeber-Forbes-Council.webp "AI in Retail & E-commerce 4") [![Miracuves is a verified agency with design rush. ](https://miracuves.com/wp-content/uploads/2024/03/DesignRush-Top-Design-Agencies-in-India.webp "AI in Retail & E-commerce 5")](https://www.designrush.com/agency/profile/miracuves#reviews) [![MiraQs is ranked as a trustworthy service provider with Trustpilot. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-TrustPilot-Top-Software-Development-Company.webp "AI in Retail & E-commerce 6")](https://www.trustpilot.com/review/miracuves.com) [![Miracuves is one of the top managed service providers, companies by themanifest. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-The-Manifest-Top-Managed-Software-Development-Company.webp "AI in Retail & E-commerce 7")](https://themanifest.com/company/miracuves-solutions) [![Miracuves ranked as a top software development company by Design Rush. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-Designrush-Top-Software-Development-Company.webp "AI in Retail & E-commerce 8")](https://www.designrush.com/agency/profile/miracuves#reviews) [![Miracuves is recognized as top software developed company by goodfirms. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-GoodFirms-Top-Software-Development-Company.webp "AI in Retail & E-commerce 9")](https://www.goodfirms.co/company/miracuves-solution) In short AI in retail and e-commerce means search that understands intent, AI product recommendations, an AI shopping assistant, AI product descriptions, visual search and demand forecasting, built on your own catalog. Miracuves ships AI catalog copy inside its commerce bases, from $2,799 in 6 working days, and builds the rest as custom work in 2-8 weeks, with 100% of the code, prompts and data yours. Our Approach ## How Miracuves builds retail AI - on your catalog, not a demo dataset Miracuves has delivered 9,000+ projects since 2010, and retail AI starts from what already exists. The [Amazon](https://miracuves.com/amazon-clone/), [Flipkart](https://miracuves.com/flipkart-clone/) and [Etsy](https://miracuves.com/etsy-clone/) bases ship an AI module that drafts product descriptions, SEO titles, tags and image alt text through OpenAI, with token quotas and a cost log per call, running on your own OpenAI key. Everything beyond that, from intent search to demand forecasting, is custom work scoped for your data. Who this is for: marketplace operators, brands and distributors who want AI to fix one named problem in the store, such as searches that return nothing, listings nobody finishes or stock that runs out without warning. It also suits retailers already trading on another platform. If you need the store itself first, see [ecommerce app development](https://miracuves.com/service/ecommerce-app-development/). Every engagement opens with an NDA and read-only access to the data that matters: the catalog, search logs, orders and returns. Before any model is chosen, the metric, the baseline and a test set of real shopper questions are agreed in writing. Model keys sit in your accounts, and prompts, code and test sets are handed over with the build. **When AI is not the answer yet:** if the catalog has no consistent attributes, or the store has too little order history to learn from, the first job is data cleanup and simple rules. We say so on the first call rather than sell a model that cannot work yet. - Tested on your catalog, never a demo dataset - Prices and stock read from the database, not the model - Evaluation set agreed before build - Model keys and usage in your own accounts - Code, prompts and test sets handed over Written by Miracuves AI Team · September 2026 · Updated September 2026[See past platform builds →](https://miracuves.com/portfolio/) **9,000+**Projects delivered since 2010**3,900+**Apps published by Miracuves**90+**Ready-made solutions to start from**6 days**Ready-made clone delivery**2-8w**Miracuves custom build timelines**100%**Source code ownership Decisions First ## What to settle before retail AI is built Retail AI projects are won or lost on product data and on the metric chosen up front. Settle these six and the model choice becomes the easy part. **Catalog** ### Attributes before algorithms Search and recommendations are only as good as the size, color, material and fit fields. If vendors fill them inconsistently, extraction comes first. Scoped upfront**Signals** ### What the store already records Searches, views, carts, orders and returns. A store without search logs can still start with catalog AI while tracking begins. Scoped upfront**Models** ### Hosted API or self-hosted A hosted model is quicker to start; a self-hosted open model keeps shopper data on your servers. The choice can differ per feature. Scoped upfront**Review** ### What publishes without a person Generated descriptions, price suggestions and reorders can wait for approval. Decide which outputs are trusted to go live on their own. Scoped upfront**Cost** ### Spend per AI call Token quotas per feature and a cost log for every call keep model spend visible. The base AI module already records both. In the base**Proof** ### One metric, one baseline Zero-result searches, items per order or stockouts. Pick one, measure it before launch and judge the AI against it, not against a demo. Scoped upfront Commerce Bases and AI ## Where the retail AI runs Five ready-made products with live pages, each built in 6 working days, and a sixth route for stores already trading: the AI layer added as custom work. [View All 90+ Solutions](https://miracuves.com/solutions/) [*01*Marketplace6 days ### Amazon Clone Multi-vendor marketplace whose AI module drafts descriptions, SEO copy, tags and alt text. $2,799AI copy](https://miracuves.com/amazon-clone/)[*02*Value Retail6 days ### Flipkart Clone Price-led retail on the same product, carrying the same AI catalog copy module. $2,799AI copy](https://miracuves.com/flipkart-clone/)[*03*Makers6 days ### Etsy Clone Maker marketplace where small sellers get AI-assisted descriptions for their own listings. $2,799AI copy](https://miracuves.com/etsy-clone/)[*04*B2B6 days ### Alibaba Clone Wholesale portal whose page lists AI recommendations, a chatbot, a negotiation bot and trend analytics; reorder forecasting and a quote assistant are custom work. $3,099Reorder AI custom](https://miracuves.com/alibaba-clone/)[*05*AI Product6 days ### ChatGPT Clone White-label AI chatbot product, a starting point for a branded shopping assistant. White-labelAI chat](https://miracuves.com/chatgpt-clone/)[*06*Existing Storecustom scope ### AI for Your Current Store Search, recommendations or an assistant added to the platform you already trade on. 2-8 weeksYour platform](https://miracuves.com/contact/) AI Layer Anatomy ## What ships today and what is built on top Three groups of retail AI. The first ships in the Amazon, Flipkart and Etsy bases and needs only your OpenAI key. The other two are custom work, scoped in writing and built in 2-8 weeks on a base or on the store you already run. ### In the Base Amazon · Flipkart · Etsy · your OpenAI keyShips today - Product descriptions drafted by AI - SEO titles and meta descriptions - Tag suggestions for listings - Image alt text for every product - AI-assisted copy in the seller panel - Token quotas set per feature - Tokens and cost logged for each call - Switched on or off in the admin console - Runs on your own OpenAI key ### Shopper-side AI Custom · 2-8 weeksCustom - Search that reads intent, not only keywords - Typo, synonym and unit handling - Similar and complementary products - Recently viewed and bought-together rails - Shopping assistant grounded in your catalog - Order status and returns answered in chat - Photo upload to find similar products - Size and fit hints drawn from reviews - Answers in the shopper's language ### Operator-side AI Custom · 2-8 weeksCustom - Demand forecast per product and location - Reorder suggestions for approval - Attributes extracted from vendor text - Duplicate and miscategorized listing checks - Return reasons grouped by product - Review themes summarized per product - Support tickets triaged with draft replies - Alerts on unusual sales or refunds - Approval queue for every AI output Pick Your Starting Point ## Ready-made vs custom vs white-label - where your retail AI should live Three ways to add AI to a store. They differ in who owns the models and data, what works on day one and what you keep paying as traffic grows. MetricFive things that decide cost, speed and reachMiracuves ### Ready-made base Amazon, Flipkart or Etsy base with the AI copy module ### Custom AI layer Search, assistant or forecasting built on your data ### White-label AI plug-ins Rented widgets on a hosted store *01*Time to launch**6 working days**Base build, FACT-005**2-8 weeks**Per capability, scoped in writing**Days**Install and configure*02*What you pay**From $2,799**One-time, plus your own model usage**Scoped quote**Milestone billing, fixed in writing**Monthly plan**Often priced by traffic or orders*03*Code, prompts, data**100% yours**Handed over with the build**100% yours**Including prompts and test sets**Held by the vendor**Export terms vary*04*AI on day one**Copy, SEO, tags, alt text**Needs your OpenAI key**What the scope names**Search, assistant, forecasting, photo search**The vendor's feature list**The same for every store*05*Best for**New stores and marketplaces**That want AI copy from the start**Stores with data and a clear metric**New or already trading**Testing one feature**Before committing to a build A ready-made base fits if... you are launching a marketplace or store and want listings written faster from day one. Start on the [Amazon Clone](https://miracuves.com/amazon-clone/), connect your OpenAI key, and add the custom layer once search and order data exist. Go custom or white-label if... you already trade on another platform and want AI inside it (custom, see [AI integration services](https://miracuves.com/service/ai-integration-services/)), or you want to test one feature, such as a chat widget, before owning it (white-label). Retail AI Buyer Guide ## AI in retail questions, answered on your data Which features exist today, where to start, what it costs to run, what data you need and how to keep an assistant honest. ### Which retail AI features ship in a Miracuves base, and which are custom? One is confirmed as shipping today. The [Amazon](https://miracuves.com/amazon-clone/), [Flipkart](https://miracuves.com/flipkart-clone/) and [Etsy](https://miracuves.com/etsy-clone/) bases, one product at $2,799, include an AI module that drafts product descriptions, SEO titles and meta descriptions, tag suggestions and image alt text through OpenAI. Vendors see it as AI-assisted descriptions in the seller panel; the operator sets token quotas per feature and sees tokens and cost logged for every call. It runs on your own OpenAI key, so it is integration-required rather than included. The [Alibaba](https://miracuves.com/alibaba-clone/) page also lists AI product recommendations, a chatbot, an AI negotiation bot and trend analytics; the written scope confirms what runs in the version you receive. Everything else on this page is custom work built on top: intent and visual search, recommendations, a shopping assistant, forecasting, return and review insights and support automation. Each is scoped in writing and takes 2-8 weeks. The base search is MySQL full-text; a dedicated search engine is a quoted add-on. ### Search, recommendations or a shopping assistant: where should a store start? Start where shoppers already fail. If search logs show many queries returning nothing, or queries that describe a need rather than a product name, intent search pays back first, because every visitor who searches touches it. If shoppers find products but leave with one item, recommendations come next. An assistant fits catalogs where buyers ask before they buy: sizing, compatibility, materials, delivery. AI is the wrong first step when the catalog itself is the problem. Missing attributes, duplicate listings and inconsistent categories make every model worse, so catalog enrichment comes before search. With little order history, recommendations start from product similarity and simple rules, and learn from behavior once orders build up. ### What does retail AI cost to run each month? The build is quoted once; running costs are separate and belong to you. They come from three places. Model usage is billed per call by the provider you choose, so it grows with traffic and with how much text each call carries. A search index and vector store need hosting. Forecasting and ranking jobs need scheduled compute. Three habits keep the bill predictable: cache answers to repeated questions, send the model only the fields it needs, and set token quotas per feature. The base AI module already enforces quotas and logs the cost of every call, and the custom layer keeps the same log. A self-hosted open model trades per-call fees for server cost, which suits high-volume stores. Running costs are estimated from your traffic before you approve the scope. ### What data should a retailer have ready before AI work starts? The 6 working days of a ready-made base are Miracuves build time; AI work runs 2-8 weeks and depends on your data, so start gathering it early. Miracuves is based in Mumbai and works remotely, so read-only access is all that is needed: - A product export with titles, attributes, categories and image links - Search logs, including the queries that returned no results - Order and return history, with return reasons where you record them - Product reviews and support tickets, if the assistant or review insights are in scope - Stock by location and supplier lead times, for forecasting - An account with your chosen model provider, such as OpenAI ### How do you stop an AI shopping assistant from making things up? By never letting the model be the source of a fact. The assistant retrieves products, prices, stock and policies from your database at the moment it answers, and the model only phrases the reply. If nothing in the catalog matches, it says the store does not carry that item instead of inventing one. Prices and delivery dates are inserted from live data, never generated. Before launch, the assistant is scored on an evaluation set of real shopper questions, including trick questions about products you do not stock. Actions such as changing an order or starting a return run through your existing APIs with the shopper signed in, and anything unusual hands off to a person. The same retrieval approach runs through our [RAG development](https://miracuves.com/service/rag-development/) work. ### How does demand and inventory forecasting work for an online store? A forecasting model learns each product's pattern from sales history, then adjusts for what it can see coming: seasonality, scheduled promotions, price changes and, where useful, holidays or weather. The output is a forecast per product and location with a range, not a single number, because the range tells a buyer how much safety stock to hold. In the operator console that becomes reorder suggestions with supplier lead times applied, waiting for a person to approve. It needs at least one full seasonal cycle of clean sales data to be worth trusting; new products borrow patterns from similar items. On the [Alibaba base](https://miracuves.com/alibaba-clone/) the same approach drives reorder prompts for trade buyers. It is custom work, built in 2-8 weeks. ### How should you evaluate a retail AI vendor? Ask questions that separate a demo from a system. Will the model keys and usage sit in your accounts? Do you receive the prompts, the evaluation set and the code, or only access to a hosted tool? How will quality be measured, against which baseline, and who agrees the metric before build? What happens when the model provider retires a model or has an outage? Then ask for the plain evidence: a cost log per AI call, a written list of what the product ships today versus what will be built, and a test on your own catalog rather than a curated dataset. Miracuves answers each of these in the written scope, and [AI consulting](https://miracuves.com/service/ai-consulting/) can run the assessment if you are still choosing between approaches. How It Works ## Retail AI flow - from a shopper's words to a reorder One shopper query, followed through the AI layer and back into the operator console. 1. ### Shopper asks in their own words Typed, spoken or a photo: "a light waterproof jacket for hiking" is read as category, feature and use. 2. ### Search ranks what you stock Keyword and vector matches are combined, out-of-stock items are filtered out and results are ranked for this shopper. 3. ### The assistant fills the gaps Questions on sizing, materials or delivery are answered from product data and your policies, with a hand-off to a person when it cannot answer. 4. ### Order and return signals flow back What was bought, kept or sent back, and why, updates recommendations and the review summaries. 5. ### The operator sees the forecast Sales signals roll up into a demand forecast per product, and reorder suggestions wait for approval. **Your key** ### Model accounts OpenAI, Claude or Gemini usage billed to your own account. **Logged** ### Cost per AI call Tokens and cost recorded for every call, as the base AI module already does. **Grounded** ### Catalog-only answers The assistant can cite only products, prices and policies held in your store. Where It Pays Back ## Six places retail AI earns its keep Each one is judged on your own data against a baseline taken before launch. No uplift figures appear here, because none would be true for your store until it is measured. ### Search That Understands Intent Shoppers describe a need, not a product title. Reading intent turns "no results" pages into relevant products you already stock. Measure: zero-result rate ### Product Recommendations Similar and complementary items at the right moment: on the product page, in the cart and in the follow-up email. Measure: items per order ### AI Shopping Assistant Pre-sale questions on fit, compatibility and delivery answered at any hour, grounded in your catalog and policies. Measure: questions resolved ### Catalog Enrichment Descriptions, attributes, tags and alt text drafted for review, so new listings go live complete instead of half-filled. Measure: time to publish ### Demand Forecasting Reorder suggestions per product and location, with supplier lead times applied, before a best-seller runs out. Measure: stockouts ### Returns and Review Insights Return reasons and review text grouped into themes per product, so sizing charts and listings get fixed at the source. Measure: return rate **Metrics, not results:** each tag above names what to watch, not a number to expect. Miracuves agrees the metric, the baseline and the test design with you before build, and the results belong to your store. Who This Is For ## Who should add AI to a store? Four buyers, each with a different first AI feature. ### Marketplace Operators Hundreds of vendors writing listings their own way. AI copy and attribute extraction make the catalog searchable without a content team rewriting every product. Catalog enrichment first ### D2C Brands A focused range and loyal repeat buyers. An assistant that knows sizing, materials and your returns policy answers what a good store associate would. Assistant first ### Wholesale Distributors Trade buyers reorder the same lines on a cycle. Forecasting and reorder prompts per account matter more to them than a chat window. Forecasting first ### Retailers on Another Platform A store already trading on Shopify, WooCommerce or Magento. AI is added through the platform's APIs, with no replatforming. Integration first Why Miracuves ## How Miracuves compares to typical AI agencies Retail AI proposals look alike until you ask who holds the model keys, who owns the prompts and how quality is tested. These are the terms worth comparing before you sign. - Code, prompts, test sets**100% Yours** - Model keys and usage**Your accounts** - Cost log per AI call**In the base** - Evaluation set agreed**Before build** - NDA before data shared**Day One** - Commerce base pricing**Published** - Tested on your catalog**Always** 1. *01* ### We say what the base already does The AI copy module ships in the commerce bases and runs on your OpenAI key. Search, recommendations, the assistant and forecasting are custom, and the written scope says so line by line. 2. *02* ### Your keys, your data, your prompts Model usage is billed to your accounts, shopper data stays in your database, and the prompts and evaluation sets are delivered with the code, so another team can take over. 3. *03* ### A test set before a line of code Real shopper queries and questions from your store are collected first, with the answer a good associate would give. Every version of the AI is scored against them. 4. *04* ### Facts come from the database, not the model Prices, stock and delivery dates are read live from your store at answer time. The model phrases the reply; it never becomes the source of a price. 5. *05* ### Honest timelines A ready-made base takes 6 working days. Custom AI takes 2-8 weeks per scope, and anything larger is quoted in writing before payment, never added mid-project. Architecture ## Retail AI architecture - catalog, signals and models The AI layer reads the same product, order and stock records the store runs on, so an answer, a recommendation or a forecast never disagrees with what checkout will charge. - *01* ### Catalog and content pipeline Product records, attributes and images cleaned and enriched on a queue; generated copy waits for approval before it publishes. - *02* ### Search and retrieval index Keyword and vector search side by side, synced on every product change, with stock and price filters applied at query time. - *03* ### Shopper signals Searches, views, carts, orders and returns captured as events, with tracking consent respected, to feed ranking and forecasts. - *04* ### Model gateway One service calls OpenAI, Claude, Gemini or a self-hosted Llama, with quotas, cost logging, timeouts and a fallback when a provider is down. **A shopper asks**Typed, spoken or photographed, in their own words**Intent is read**Category, attributes and budget pulled from the query**Your catalog answers**Only matching, in-stock products are ranked and shown**The result is logged**Clicks and orders feed the next ranking and your metric Built with[LLM Development](https://miracuves.com/service/llm-development/)[ML Development](https://miracuves.com/service/ml-development/)[Computer Vision](https://miracuves.com/service/computer-vision-development/)[Laravel Development](https://miracuves.com/service/laravel-development/) Technology Stack ## Retail AI stack - models, search and data What the AI layer runs on beside the commerce base. Model providers are tools we integrate into your accounts, chosen per feature. *Lv***Laravel 12**Commerce base backend*OA***OpenAI**Base AI copy module*Cl***Claude**Assistant and summaries*Gm***Gemini**Text and image input*Ll***Llama**Self-hosted option*Py***Python**Ranking and forecasting*Ms***Meilisearch**Search add-on*Es***Elasticsearch**Search at scale*Pv***pgvector**Vector similarity*Ie***Image embeddings**Visual search*Wh***Whisper**Voice search input*Rd***Redis**Queues and cache*My***MySQL**Catalog and orders*Fl***Flutter**Customer and vendor apps*S3***S3 storage**Product images and CDN*Fc***FCM**Push for alerts and offers Quality Standards ## Quality standards for retail AI in production Retail AI goes live only after these six gates, checked against your catalog and a test set of real shopper questions. - Evaluation set agreedGate - Catalog grounding testGate - Cost and quota limitsGate - Privacy reviewGate - Human approval pathGate - 60-day monitored supportGate Delivery Gates ## Six checks before AI goes live **01** #### Evaluation set agreed Real shopper queries, questions and products are collected from your store before build, each with the answer a good associate would give, so every model change is scored against the same test. **02** #### Catalog grounding test Search and the assistant are tested on items you do not stock. They must say so rather than invent one, and prices and stock always come from the database. **03** #### Cost and quota limits Per-feature token quotas, timeouts and a cost log per call are set before launch, so a traffic spike produces a bill you expected, not one you discover. **04** #### Privacy review Names, addresses and payment details are kept out of model prompts, tracking consent is respected, and model keys live in environment config under your accounts. **05** #### Human approval path Generated copy, reorder suggestions and price changes wait for a person to approve them until you decide a feature has earned automatic publishing. **06** #### 60-day monitored support Faults inside the agreed scope are fixed in the 60 days after launch, and answer quality and model cost are reviewed with you before the window closes. Delivery Process ## Retail AI delivery · 6 working days for a base, 2-8 weeks for AI NDA and data access first, then the base if you need one, then each AI capability scoped, tested against your evaluation set and switched on behind a flag. 1. **Day 0** ### Brief, NDA and Data Access Tell us the store, the catalog and the one problem to solve first. The NDA is signed before any data is shared, and read-only data access is agreed. 2. **Day 1-6** ### Base Built, AI Copy On If you need a store, the ready-made base is built and branded, and its AI copy module is connected to your OpenAI key. Existing stores skip this step. 3. **Week 1-2** ### Data Audit and Test Set Catalog, search logs and order history are reviewed; the evaluation set, the metric and the baseline are agreed in writing. 4. **Week 2-6** ### Build the AI Layer Search, recommendations, the assistant or forecasting built against your data and scored against the test set every week. 5. **Week 6-8** ### Shadow Run and Launch The feature runs beside the current store for part of the traffic, then goes live once it beats the baseline you agreed. **Day 0**NDA signed**Day 6**Base handed over**Week 2**Test set agreed**2-8 wk**AI layer live ### Six days covers the base, not the AI layer The 6 working days are Miracuves build time on a ready-made commerce base. AI work is custom and takes 2-8 weeks per scope because it depends on your data: a catalog with missing attributes, or a store with no search logs, changes the plan. We name the data to start collecting on the first call. [See what the six days cover](https://miracuves.com/facts/#fact-005)FACT-005, audited quarterly Cost & Pricing ## What AI in retail costs The Amazon, Flipkart and Etsy bases, one product with the AI copy module, are $2,799; the Alibaba B2B base is $3,099. Custom AI work is quoted in writing before you pay. ### Ready-made Base + AI Copy $2,799 /from 6 working days · scoped - Storefront, vendor panel and operator console - AI descriptions, SEO copy, tags and alt text - Token quotas and a cost log per AI call - Payment gateway configured - Full source code delivered - 60-day post-launch support [Start With a Base](https://wa.me/919830009649)Built on your data ### Custom AI Layer Custom Quote 2-8 weeks · milestone billing - Intent search or visual search - Recommendations or a shopping assistant - Demand and reorder forecasting - Evaluation set and baseline agreed first - Code, prompts and test sets handed over - 60-day support after go-live [Get a Scope & Quote](https://miracuves.com/contact/) ### Enterprise Retail AI Enterprise Multi-store · data governance · written scope - Multi-region or multi-brand rollout - Self-hosted model option - Data governance and audit reporting - Named engineers on your project - First response under 2 hours, Mon-Sat 10:00-19:00 IST - Ongoing model tuning retainer [Discuss Enterprise](https://miracuves.com/contact/) **Cost factors that change the price**catalog size, how clean the product data is, the number of languages, and whether models run through an API or on your own servers. ### What affects project cost The base price is fixed when scope matches the published base. AI work is priced by capability and by data: search over a clean catalog is a smaller scope than an assistant that also handles orders and returns. Model usage is billed by your provider to your own account. ### Typical budget ranges - **Ready-made base**from $2,7996 working days Custom AI layer: scoped quote · 2-8 weeks. Enterprise: multi-store, data governance - contact for written scope. Example engagement ## What adding AI to a marketplace looks like in practice An illustrative example of a typical project of this kind, with client details anonymized. Figures show what this kind of build targets, not a named client's results. A homeware marketplace on the Amazon base had vendors writing listings their own way, and shoppers searching for "small oak desk for a bedroom" found nothing: what adding the AI layer involves. 1. **01** ### Challenge Vendor titles said "writing table" and "study unit" while shoppers typed "desk". Material and size were buried in free text, so filters and search both missed products the store actually had. 2. **02** ### What Miracuves Delivered The base AI copy module connected to the operator's OpenAI key with an approval queue, attribute extraction from vendor text, hybrid keyword and vector search behind the existing search service, and photo search for similar items. 3. **03** ### Outcome This kind of build targets fewer zero-result searches and less manual listing cleanup. The operator measures both against a baseline taken before launch, and the code, prompts and test set sit in its own repository. **6 days**Base build**2-8 wk**AI layer, scoped**100%**Source code [View All Case Studies](https://miracuves.com/portfolio/) Engagement Brief - Base**Amazon Clone** - AI layer**Hybrid + photo search** - Models**Operator's own keys** - Review**Approval queue** - Source**100% owned** Client Reviews ## What Miracuves clients say Quoted verbatim from /client-testimonials/. These clients built a B2B commerce platform, a streaming service with its own recommendation logic, and a super-app with a regional marketplace layer, all on Miracuves bases. They are Miracuves clients, not clients of this retail AI service. ★★★★★Client testimonial > "Miracuves's MXB2B base gave us the catalogue, the order flow, and the payments backbone. We added our custom short-term-credit module, our distributor-tier pricing, and a custom reconciliation engine." *RP***Rajesh Premani**Founder, Vyapar Pe Technologies*B2B Commerce*★★★★★Client testimonial > "Player, CMS, subscriptions and the apps were all there. We brought the content pipeline, our recommendation logic and the parental-control layer." *BL***Ben Loyd Holmes**Co-founder & CTO, URView Media*Streaming*★★★★★Client testimonial > "Their Gojek base had the rider and driver apps, dispatch and the merchant console already. We added local payment partners and our regional marketplace layer, and were taking live orders inside a month." *MM***Melvin Morales**Operations Lead, Shophy Holdings*Marketplace* **6,000+**Clients served**3,900+**Apps published**35+**Industries served[Read All Testimonials](https://miracuves.com/client-testimonials/) Why Miracuves ## Six places to check us before you ever call us Each one is either run by someone else or open to anyone. Check them in any order; the whole list takes about a minute. [Why clients choose Miracuves](https://miracuves.com/why-us/) [**01** ### Company registration Miracuves Solutions Pvt. Ltd., CIN U62099MH2023PTC406639. Search the CIN on the Ministry of Corporate Affairs portal. mca.gov.in](https://www.mca.gov.in/) [**02** ### Every number, sourced Projects, clients, prices and timelines, each one defined and sourced on our public facts ledger. miracuves.com/facts](https://miracuves.com/facts/) [**03** ### Reviews on Clutch Client reviews published by Clutch, an independent B2B review platform, not by us. clutch.co](https://www.clutch.co/profile/miracuves-solutions) [**04** ### Reviews on GoodFirms A second, separate review platform. Read what clients wrote there too. goodfirms.co](https://www.goodfirms.co/company/miracuves-solution) [**05** ### The product itself Web app, admin panel and APK with printed credentials. Try the real thing before a single call. miracuves.com/solutions](https://miracuves.com/solutions/) [**06** ### Clients, by name Named clients describing their launches, in their own words. miracuves.com/client-testimonials](https://miracuves.com/client-testimonials/) ### Three promises we would stake the company on Every promise on this site rests on these three. Each one is something you can check, not something you have to take on trust. - #### 01People you can name Our leadership is public, with real LinkedIn profiles, not a stock-photo team page. A named team works your build and sends you progress on WhatsApp every working day. [Meet the leadership](https://miracuves.com/leadership/) - #### 02Proof over promises Every number we publish, pricing, timelines, project counts, is defined and sourced on a public facts ledger. If we can't back a claim, we don't make it. [Read the facts ledger](https://miracuves.com/facts/) - #### 03A process with a deadline Ready-made platforms go from kickoff to live deployment in 6 working days, guaranteed: miss it for reasons on our side and we work free until launch. Custom builds get a fixed quote after a free feasibility study. [Get a feasibility study](https://miracuves.com/schedule-consultation/) Explore Miracuves ## Miracuves AI services - models, data and assistants [AI**AI development**The full AI service, for products where retail is one part of a wider brief.](https://miracuves.com/service/artificial-intelligence-development/)[AI**LLM development**Prompting, fine-tuning and evaluation behind language features such as the shopping assistant.](https://miracuves.com/service/llm-development/)[AI**Computer vision**Image models behind photo search, auto-tagging and listing photo checks.](https://miracuves.com/service/computer-vision-development/)[AI**Machine learning**Ranking and forecasting models trained on your order and search history.](https://miracuves.com/service/ml-development/)[AI**Chatbot development**Support and pre-sale chat across web, app and messaging channels.](https://miracuves.com/service/chatbot-development/)[Data**Data analytics**Dashboards and pipelines that give the AI layer clean inputs to learn from.](https://miracuves.com/service/data-analytics/) Related Solutions ## Explore Miracuves products & services Commerce bases, AI services and the ecommerce vertical this page builds on. [E-Commerce**Amazon Clone**](https://miracuves.com/amazon-clone/)[B2B**Alibaba Clone**](https://miracuves.com/alibaba-clone/)[AI Product**ChatGPT Clone**](https://miracuves.com/chatgpt-clone/)[Vertical**Ecommerce App Development**](https://miracuves.com/service/ecommerce-app-development/)[AI**AI Integration Services**](https://miracuves.com/service/ai-integration-services/)[AI**RAG Development**](https://miracuves.com/service/rag-development/)[AI**AI Consulting**](https://miracuves.com/service/ai-consulting/)[AI**NLP Development**](https://miracuves.com/service/nlp-development/) Frequently Asked ## AI in retail and e-commerce - FAQ Something not covered here? Ask on WhatsApp and you will usually have an answer within two hours. [Ask us directly](https://wa.me/919830009649) Can you add AI to a store that already runs on Shopify, WooCommerce or Magento? Yes. The AI layer is built as its own service and talks to your store through the platform's APIs: it reads the catalog and orders, writes back approved copy, and serves search or chat through a widget or your theme. No replatforming is needed. This is custom work of 2-8 weeks; the [AI integration services](https://miracuves.com/service/ai-integration-services/) page covers the approach. Does AI product copy work in more than one language? The base AI module drafts descriptions, SEO titles, tags and alt text through OpenAI, and the base already stores translated content for multilingual storefronts. Generating copy per language, with your brand glossary and a check that sizes and units convert correctly, is scoped as custom work. A person should approve the first batches in each language before publishing is automated. How does visual search work in an ecommerce app? A shopper uploads a photo or taps a product image, and an image model turns it into a vector: a numeric fingerprint of shape, color and pattern. The store then returns the closest in-stock products from your catalog. It needs clean product photos, ideally on plain backgrounds, and it is custom work built with our [computer vision](https://miracuves.com/service/computer-vision-development/) team. Will AI product recommendations work for a new store with few orders? Yes, in stages. At launch, recommendations come from product similarity, meaning shared attributes, categories and descriptions, plus rules you set, such as accessories for a main item. As orders build up, behavior-based models learn what shoppers actually buy together. The switch happens product by product, so popular items move first. Can the AI shopping assistant track orders and start returns? Yes, when scoped. The assistant calls your existing order and returns APIs with the shopper signed in, so it can report where a parcel is, check whether an item is inside the return window and open a return request. Refund approvals stay with your team. Actions like these follow the patterns in our [AI agent development](https://miracuves.com/service/ai-agent-development/) work. Who owns the prompts, models and data? You do. Model keys and usage sit in your own provider accounts, the source code transfers at handover as with every Miracuves build, and the prompts, evaluation sets and any fine-tuned models are delivered with it. Your catalog and shopper data stay in your own database and accounts. Is shopper data sent to OpenAI or other model providers? Only what a feature needs. Product copy sends product data, not shopper data. Search and the assistant send the query text, with names, addresses and payment details stripped before the call. Each provider's data-use terms apply to what is sent, so we review them with you. Where that is not acceptable, a self-hosted open model such as Llama keeps every call on your servers. What support comes after the AI layer goes live? A ready-made base carries 60 days of guidance, 6 months of priority fixes and 12 months of product evolution. For the custom AI layer, faults inside the agreed scope are fixed in the 60 days after launch. Retraining forecasts, tuning search or adding languages can run under a retainer quoted in writing. First response is under 2 hours, Mon-Sat 10:00-19:00 IST. Can AI set prices or run dynamic pricing for a store? It can suggest them. A model can flag slow stock for a markdown or spot where a price sits far from similar items, and those suggestions appear in the operator console. We recommend a person approves every price change, within floor and ceiling rules, because an automated price error reaches every shopper at once. Price suggestion is custom work scoped with your margin rules. Do you build AI for wholesale and B2B stores? Yes. Trade buyers behave differently: they reorder the same lines, buy by the case and ask for quotes. AI there means reorder reminders per account, quick order from a pasted list or a photo of a handwritten order, and a quote assistant that drafts replies for your sales team. The [Alibaba base](https://miracuves.com/alibaba-clone/) at $3,099 is the usual starting point. Get Started ## Ready to add AI to your store? Tell us your store, your catalog and the one thing shoppers struggle with today. Miracuves proposes the first AI feature, scoped in writing, on a base from $2,799 or on the store you already run. **$2,799**Bases from**6 days**Base build**2-8 wk**Custom AI**100%**Source code [WhatsApp - Start Now](https://wa.me/919830009649)[Book a Free Consultation](https://miracuves.com/schedule-consultation/)[Scope My Retail AI](https://miracuves.com/contact/) NDA signed before you share catalog or shopper data Page reviewed by Miracuves AI Team · Last updated September 2026 · [Clutch & Google Reviews](https://miracuves.com/reviews-awards/) ## Disclaimer **Miracuves is an independent software development company.** We are not affiliated with, connected to, sponsored by, or endorsed by any of the brands or platforms named on this page. Names of the form “Brand Clone” are used descriptively: it is how the software industry refers to building a platform with functionality comparable to a known service, and how clients search for it. The entire design and codebase of our products is built by our own team and contains no code, design, graphics, or content originating from any third-party website or application. All third-party names and marks are the property of their respective owners. [Full Legal Notice & Disclaimer](https://miracuves.com/disclaimer/)