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 retail analytics startups.
Out of 652, the Global Startup Heat Map highlights 5 Top Retail Analytics Startups
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 652 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 647 retail analytics startups, get in touch with us.
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Rilla offers In-store Conversational Analytics
Founding Year: 2019
Location: New York, US
Funding: USD 100 000
Use Solution for Customer-Employee Interaction Analysis
Rilla is a US-based startup that develops voice recognition software to capture in-store conversations. The startup’s mobile app installs on the store’s devices such as tablets. Whenever a customer interacts with an employee the app automatically starts capturing the conversation and uses AI to transcribe and analyze these conversations. This allows retail store operators and managers to understand whether an interaction was successful or not, allowing them to improve staff training and identify top performers.
VAAK provides Retail Store Analytics
Founding Year: 2017
Location: Tokyo, Japan
Funding: USD 2,6 M
Collaborate for Customer & Employee Safety
VAAK is a Japanese startup that offers image analytics solutions to reduce theft at retail outlets. The startup’s AI-enabled security cameras detect suspicious behavior of individuals and flag them. This enables the store staff and security services to easily identify suspicious individuals and prevent thefts. VAAK thus reduces security costs as well as ensures customer and employee safety at the store.
Limitless Insights offers Retail Customer Analytics
Founding Year: 2017
Location: Belfast, UK
Use Solution for In-store Customer Tracking
UK-based startup Limitless Insights provides retail customer analytics. The startup’s platform uses video feeds from store cameras to map customer paths, find dwell time in particular locations, and identify high traffic areas. These insights enable efficient queue management as well as improve in-store merchandising and product placement. Limitless Insights thus allows the retail stores to understand how their customers interact with the retail space and, in turn, improve operations and sales.
ARpalus provides Shelf Space Analytics
Founding Year: 2019
Location: Caesarea, Israel
Funding: USD 2 M
Reach out for Optimal Shelf Space Utilization
ARpalus is an Israeli startup that leverages AI and computer vision to analyze store shelves and uses augmented reality (AR) to display insights about the products. The startup’s smartphone app allows staff to scan physical shelves and analyze the shelf space. It detects out-of-stock products and identifies if planogram compliance is being met with the current product placement. The app also categorizes multiple products using AR and further offers details on individual products and their SKU levels. This enables retailers to optimize shelf space utilization, leading to more effective product placements and inventory management, thereby improving the customer experience.
Wesense.ai offers Customer Intelligence
Founding Year: 2017
Location: Bengaluru, India
Work with Wesense.ai for Data-driven In-Store Advertising
Indian startup Wesense.ai develops a real-time customer analytics platform for the retail industry. It integrates with the existing CCTV infrastructure of a store to track customers. The platform tracks the footfall of incoming customers and classifies them based on their gender, age, and other demographics. It further discerns the individual characteristics of the customers, such as their fashion choices, to create unique customer profiles as well as analyzes customer behavior and interactions. This enables retailers to provide more personalized experiences to their customers and also improve in-store advertising and merchandising.
Discover more Retail Startups
Retail startups such as the examples highlighted in this report focus on customer engagement, behavior analytics, risk management, and real-time customer analytics. 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.
