Top 50 Ai Powered Recommendation Engine in Asia

StyleAI provides a style recommendation engine that utilizes machine learning algorithms to analyze customer preferences and suggest personalized outfit combinations. This technology enhances the shopping experience for retailers by increasing customer engagement and driving sales through tailored recommendations.

Sakeai utilizes an AI-driven recommendation engine to match users with personalized sake selections, enhancing their drinking experience. The platform addresses the challenge of discovering new sake options by offering tailored suggestions from a diverse range of over 100,000 possible combinations.

Dialogue is a no-code, AI-powered personalization platform that enables e-commerce businesses to create tailored shopping experiences through advanced segmentation and dynamic product recommendations. By optimizing conversion rates and average order value, it addresses the challenge of engaging diverse customer preferences in a competitive online marketplace.

Zenplat is an online travel service that utilizes artificial intelligence and social media analytics to deliver personalized travel recommendations at competitive prices. The platform addresses the challenge of finding affordable and tailored travel options by streamlining the booking process and enhancing user experience.

The startup operates an e-commerce platform that offers handmade and customized products across various categories for celebrations, utilizing proprietary technology and a network of strategically located dark stores throughout India. By leveraging artificial intelligence and analytics, the company provides hyper-personalized consumer experiences, enabling its brands to fulfill orders efficiently and meet diverse customer needs.

Suggestr develops in-house recommendation engines that utilize customer data analytics to enhance product suggestions for e-commerce brands. This technology enables brands to increase conversion rates and improve customer engagement by delivering personalized shopping experiences.

The startup operates an e-commerce platform that provides customizable storefronts for retailers, enabling them to enhance product visibility and optimize conversion rates. By offering tailored shopping experiences, the platform addresses the challenge of low engagement and sales in online retail environments.

The startup has developed a data-driven fashion platform that employs artificial intelligence for trend analysis, product recommendations, and design creation. This platform connects emerging artists with fashion designers, enabling artists to gain visibility and monetize their designs while addressing the challenge of underrepresentation in the fashion industry.

This startup develops machine learning applications with a focus on voice and audio recommendations, aiming to enhance user engagement through personalized content delivery. Their first product, F O O T P R I N T S, is designed to improve user experience by providing tailored audio recommendations based on individual preferences.

GIFT ADVISOR utilizes big data and artificial intelligence to streamline the gift selection process, enabling users to find personalized gift options quickly and efficiently. This technology addresses the challenge of overwhelming choices by providing tailored recommendations based on individual preferences and trends.

Streambox Media provides a unified TV operating system that aggregates content from various OTT platforms and live channels into a single interface, enhancing user accessibility. Its AI-driven recommendation engine personalizes content delivery based on individual viewing habits, improving the overall entertainment experience.

Deepleaper develops a business semantics processing engine that utilizes artificial intelligence to curate relevant content and consumer services based on real-time contextual data. This technology enhances user experiences by presenting personalized recommendations, enabling individuals to discover and enjoy the best aspects of their daily lives.

The startup operates a fashion e-commerce platform that utilizes a proprietary AI recommendation algorithm to create personalized product selections for each user. This platform enables influencers and celebrities to establish online stores, facilitating the sale of fashion, beauty, and lifestyle products while keeping customers informed about the latest trends.

Purplle runs an Indian e‑commerce marketplace that aggregates over 200,000 beauty, personal‑care and consumer‑electronics SKUs, allowing shoppers to browse, compare and purchase via web or mobile app. The platform uses an AI‑driven Beauty Assistant and dynamic pricing to deliver personalized product recommendations, promotions and real‑time order tracking, while offering brands API access for inventory and fulfillment management. Revenue comes from transaction commissions, fulfillment fees and advertising services.

Azar provides a cloud‑native, WebRTC‑based platform for instant 1:1 video chats on mobile and web, using an AI‑driven recommendation engine to match users based on interaction patterns and optional gender or region filters. The service includes built‑in safety tools such as automatic screen‑blur and one‑tap reporting, as well as real‑time translation, AR visual effects, and premium filters unlocked through in‑app purchases and subscription tiers.

Fijoya provides a customizable platform that consolidates thousands of health and wellness benefits into a single marketplace, utilizing an AI-driven recommendation engine for personalized employee engagement. This solution eliminates vendor fatigue and administrative burdens by offering a pay-per-use model with instant virtual card payments, ensuring that unspent funds return to the employer's budget.

AiMall develops artificial intelligence technology to enhance the shopping experience in traditional malls by providing personalized recommendations and real-time inventory tracking. This approach addresses the inefficiencies of in-person shopping, helping retailers increase foot traffic and optimize product placement.

Dazlinn employs visual AI algorithms to identify products in images and recommend similar items from a retailer's inventory, enhancing the online shopping experience. This technology allows users to search using images or natural language, streamlining product discovery and reducing the reliance on exact keyword searches.

Dable, Inc. is a content discovery platform that utilizes machine learning and data-driven personalization technology to recommend tailored content and advertisements to users across a global media network. This approach enhances user engagement and increases advertising revenue by delivering relevant content in a targeted manner.

Boby AI provides a cloud‑native AI platform that delivers real‑time, personalized engagement for web, mobile and messaging apps via a lightweight JavaScript/Swift SDK and REST/WebSocket APIs. The service streams user events, applies pretrained intent‑prediction and recommendation models, and lets product teams configure engagement workflows, A/B tests, and analytics through a low‑code visual builder. It includes GDPR‑compliant data handling, end‑to‑end encryption and auto‑scaling infrastructure on major cloud providers.

Mafengwo is an integrated travel community platform that aggregates user‑generated guides, itineraries, and reviews into a searchable knowledge base for Chinese travelers. It combines AI‑driven recommendations, a drag‑and‑drop itinerary builder, and a real‑time price‑comparison engine for flights, hotels, and activities, with cross‑platform sync and offline access. The service also provides partner analytics dashboards to help travel agencies and tourism boards target and engage this audience.

Zerek.ai provides a customer data platform that enables banks to create personalized, AI-driven interactive applications by integrating cross-channel behavioral and transactional data. This technology enhances customer engagement and retention through automated segmentation, real-time marketing campaigns, and advanced analytics, ultimately improving customer satisfaction and increasing revenue.

The startup operates a curated marketplace for beauty and wellness products, utilizing a personalized AI-driven recommendation system and a rigorous vetting process to ensure product quality. This approach enables customers to easily find effective and trustworthy items tailored to their specific health and beauty needs.

The startup operates a mobile application that utilizes machine learning algorithms to deliver personalized shopping campaigns tailored to individual user preferences and lifestyles. This approach enhances the shopping experience by providing relevant product recommendations and guidance, addressing the challenge of information overload in retail.

Meituan operates a mobile platform that aggregates food delivery, restaurant reservations, grocery shopping, hotel booking and other local services, connecting urban consumers with nearby merchants through AI‑driven recommendations and real‑time order routing. The platform also offers merchants SaaS tools for inventory management, sales analytics and targeted promotions, while providing riders with algorithm‑optimized dispatch, insurance coverage and performance incentives. By integrating demand‑side and supply‑side functions, Meituan streamlines ordering, payment and logistics for consumers, merchants and delivery partners.

Zevi is a search engine utilizing natural language processing and neural search technology to enhance product discovery on e-commerce platforms. It addresses the issue of irrelevant search results by providing contextually relevant, multilingual search capabilities and a conversational AI shopping assistant that improves user engagement and conversion rates.

This startup uses AI to create a travel marketplace that matches travelers with personalized trip options. The platform analyzes user preferences and travel data to suggest relevant destinations, accommodations, and activities, streamlining the travel planning process.

The startup develops an information recommendation service that utilizes psychological and behavioral genetic algorithms to analyze user personality traits, preferences, and living conditions. This technology enables companies to enhance their marketing strategies and digital experiences by delivering tailored information to their target audiences.

ShoppingDupes utilizes artificial intelligence to search and compare a wide range of products, enabling users to find the best alternatives at competitive prices. This platform addresses the challenge of product discovery by simplifying the decision-making process for consumers seeking cost-effective options.

Branch AI provides a data pipeline solution that processes unstructured data and delivers it to search databases, vector databases, and data lakes. The platform enhances e-commerce search functionality by generating AI-driven overviews, comparisons, and recommendations, improving user engagement and increasing organic traffic through indexed landing pages.

Coverfox is a digital insurance brokerage that aggregates health, term‑life, and motor policies from over 30 carriers into a searchable marketplace. The platform provides real‑time quotes, AI‑driven policy recommendations, and end‑to‑end e‑KYC and digital signature workflows to enable paperless purchase and instant policy issuance. It also offers an SDK for fintech and insurance platforms to embed its comparison engine.

The Ayurveda Experience operates an e‑commerce platform offering clinically vetted, plant‑based Ayurvedic personal care products for face, body, and hair, matched to users through a dosha quiz and AI recommendation engine. It also provides video courses, live webinars, and virtual skincare consultations to educate consumers and personalize regimens, all on a HIPAA‑ and GDPR‑compliant cloud infrastructure.

The startup offers an online learning application that utilizes machine learning algorithms to provide step-by-step solutions for high school math problems. This technology enables students to enhance their understanding and performance in mathematics through personalized, AI-driven assistance.

Parentinc operates theAsianparent, a mobile‑first app serving parents in Singapore, Indonesia, Thailand, Malaysia and the Philippines with medically vetted health and parenting content, moderated community forums, and a personalized product recommendation engine. The platform monetizes its 35 million monthly users through programmatic display ads, influencer‑marketing services, email and push campaigns, and a data‑driven insight suite for brands targeting mothers.

Manthan provides a cloud‑native AI‑driven prescriptive analytics platform for retailers and consumer‑goods brands. It unifies first‑ and third‑party data into a real‑time customer data platform and delivers actionable recommendations for pricing, promotions, assortment, and inventory through a natural‑language conversational interface. The solution automates execution via APIs and supports omnichannel personalization across web, mobile, in‑store beacons, and call‑center channels.

GenPark AI develops an AI-powered platform to deliver highly personalized shopping experiences for users. The system curates daily product updates and content aligned with individual user preferences and interests. This approach enhances product discovery and streamlines the online retail journey through smart personalization.

Nana is a mobile marketplace that aggregates over 22,000 SKUs across groceries, meals, personal care items, and digital gift cards, providing real‑time inventory visibility and AI‑driven product recommendations. It fulfills orders through a proprietary last‑mile logistics network that routes purchases to nearby micro‑fulfillment hubs or partner retailers for delivery within minutes, with in‑app payment, live tracking, and push notifications. The platform also offers merchants an API for inventory synchronization and order management, creating an end‑to‑end omnichannel solution.

Pardon offers an AI-driven platform that enhances sales for restaurants and hotels by providing real-time analytics and personalized recommendations through smart QR menus. This technology addresses the issue of lost orders and inefficient service, resulting in an average sales increase of 29%.

The startup offers a recommendation platform that utilizes personalized algorithms and traffic light evaluations to help viewers select movies and TV shows based on their preferences. By integrating with various OTT services, the application provides real-time information on where to stream the desired content, eliminating the need for users to search multiple platforms.

Z.Ai utilizes AI-driven algorithms to deliver personalized product recommendations based on user behavioral data, enhancing customer engagement and conversion rates. By implementing this technology, businesses can achieve significant increases in click-through and conversion rates, as demonstrated by clients who have experienced up to a 200% improvement.

The startup offers an artificial intelligence-powered search platform that utilizes machine learning algorithms to optimize product recommendations for retail businesses. This technology enhances sales conversion rates by effectively guiding e-commerce visitors to the most relevant products in the client's inventory.

The startup offers a mobile‑first news app that condenses articles from English and Hindi publishers into 60‑word briefs and presents them in a personalized feed powered by machine‑learning. Users can tap a brief to read the full article, browse categories, receive push alerts, and participate in in‑app polls, while data is encrypted for privacy.

Gigalogy provides AI-driven solutions for e-commerce and mobile applications, including a no-code platform for building generative AI-powered assistants and a programmatic advertising management system. Their technology enhances product discovery and user engagement while optimizing advertising budgets, ultimately increasing revenue and customer lifetime value for businesses.

The startup develops an AI-powered sales experience platform that utilizes speech recognition, natural language processing, and a multi-dimensional affinity engine to enhance customer interactions. By predicting customer preferences, the platform improves lead qualification and conversion rates for enterprises in the automobile, retail, and BFSI sectors across various channels.

Sweetch provides an AI‑driven precision‑engagement platform that delivers just‑in‑time, emotionally‑intelligent interventions to patients with chronic conditions, using data from wearables, medical devices, and patient‑reported outcomes. The system integrates with EHRs and health‑IT standards to log interactions, generate hyper‑personalized recommendations, and supply health‑care organizations with real‑time adherence metrics and population‑health analytics.

Rosetta.ai utilizes deep learning algorithms to provide personalized product recommendations and marketing automation for fashion e-commerce platforms. This technology enhances customer engagement and increases conversion rates, average order values, and overall revenue for online retailers.

Corca develops an AI-driven e-commerce advertisement recommendation model that optimizes ad campaigns by analyzing user behavior and targeting specific demographics. This technology enhances ad performance and increases return on investment for online retailers.

The startup operates a fashion e-commerce platform that utilizes data analytics to extract actionable insights from social media and online shopping trends. By providing customized market research and competitor analysis, it enhances the shopping experience with tailored product recommendations.

Buzzni offers APlus AI, a subscription‑based platform that ingests e‑commerce data streams and applies proprietary machine‑learning models to deliver real‑time product recommendations, review sentiment insights, and visual‑search capabilities. Results are accessed via secure APIs and a web dashboard, allowing online retailers to embed personalized experiences without building in‑house AI teams. The service scales on demand, includes continuous model updates, and meets data‑privacy compliance standards.

Skeep utilizes generative AI to automatically create personalized, shoppable quizzes that enhance product discovery for eCommerce platforms. This technology increases conversion rates by guiding shoppers to the most relevant products based on their preferences, resulting in a measurable uplift in sales.