Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the retail industry. This time, you get to discover five hand-picked startups offering virtual assistants for retail companies.
Out of 123, the Global Startup Heat Map highlights 5 Top Virtual Assistants for Retail Companies
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 123 exemplary startups & scaleups we analyzed for this research. Further, it highlights five retail startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 118 virtual assistants for retail companies, get in touch with us.
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LimeChat provides Virtual Sales Assistants
Founding Year: 2020
Location: Bangalore, India
Partner for: Customer Interaction Automation
Indian startup LimeChat provides virtual sales assistants for eCommerce websites. The startup uses artificial intelligence to develop smart conversational chatbots to understand customer shopping patterns. The chatbot guides shoppers from product discovery to checkout across buying channels like websites, apps, messenger apps, Whatsapp, and Instagram. The startup thus enables companies to better understand customer behavior and increase sales.
Kindly offers an eCommerce Conversational Platform
Founding Year: 2017
Location: Oslo, Norway
Partner for: eCommerce Customer Engagement
Norwegian startup Kindly develops virtual shopping assistants for eCommerce. The startup develops AI-based conversational bots to engage customers. These virtual shopping assistants aid customers in purchase decisions and procuring the best deals. Kindly’s platform uses machine learning (ML) to provide personalized product recommendations and smart suggestions by understanding buying choices. This allows companies to build stronger bonds with shoppers and increase overall sales, enabling shoppers to become active, loyal, and repeat buyers.
Boon enables Psychological Commerce
Founding Year: 2017
Location: London, UK
Partner for: Personalized Shopping Guide
Boon is a UK-based startup that enables psychological commerce. The startup’s solution guides users through psychology-based questions in order to understand their choices, interests, and buying behavior. It then develops individual user profiles to personalize the site experience and create better immersion. Boon’s platform uses a filtering engine and AI to provide smart recommendations to each user. It further allows users to improve recommendations by providing feedback. The startup enables companies to design efficient retargeting campaigns by understanding the customer demographics and desires. This improves the overall user shopping experience and site engagement of retail brands.
Certainly provides eCommerce Shopping Assistants
Founding Year: 2017
Location: Copenhagen, Denmark
Partner for: eCommerce Sales Assistant
Danish startup Certainly builds eCommerce shopping assistants. The startup uses artificial intelligence to develop conversational bots for online sales. The conversational commerce platform, Certainly, analyzes the behavior of the customer onsite through texts and voices to optimize their site experience. The AI bots assist shoppers to pick the right product with the right size and color to minimize returns. The startup, in turn, allows brands to improve customer interaction and customer service which reduces cart abandonment and grows conversions.
Shelf AI enables Grocery Shopping Automation
Founding Year: 2016
Location: Porto, Portugal
Partner for: Grocery Shopping Assistant
Shelf AI is a Brazilian startup that automates grocery shopping with virtual assistants. The startup uses natural language processing (NLP) in its application, shelf.ai, which allows customers to place orders verbally. The engine recommends grocery products by analyzing the past purchases and buying patterns of the customers. This enables retailers to better connect with their customers and improve their shopping experience.
Discover more Retail Startups
Retail startups such as the examples highlighted in this report focus on customer engagement, behavior analysis, AI, and NLP. While all of these technologies play a major role in advancing the retail industry, they only represent the tip of the iceberg. To explore retail technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Retail Innovation Report to save your time and improve strategic decision-making.
