Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into Food Tech. This time, you get to discover 5 hand-picked customer analytics solutions.
Global Startup Heat Map highlights 5 Top Customer Analytics Solutions for Food Businesses out of 739
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-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 739 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 customer analytics 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 5 startups & scaleups in this report. For insights on the other 734 customer analytics solutions, get in touch.
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YumzyX provides eCommerce Customer Analytics
In the traditional use of customer data, food companies focus on their marketing value rather than their ability to drive decision-making at the strategic level. Also, there are limited channels for customers to provide direct feedback to food brands. However, with eCommerce and omnichannel distribution, food companies collect valuable data on their customers both through first-hand information and third-party services. For instance, in-house point of sales (POS) and online delivery management systems enable restaurants to accurately track their customers’ food preferences.
YumzyX is an Indian startup that provides a Software-as-a-Service (SaaS) eCommerce management and analytics platform for food brands, including restaurants and ghost kitchens. The startup’s consumer analytics solution is based on past orders and identifies trends to streamline a company’s operations. YumzyX further enables food brands to access customer information, such as emails and phone numbers, for omnichannel marketing as well as customer assistance. Additionally, it provides real-time reports on orders, deliveries, and operations via a web-based dashboard.
Social Standards develops a Market Insights Platform
Understanding consumer behavior is an integral part of understanding market trends. Therefore, customer analytics drives demand prediction models and affect operational decision-making among food companies. That is why startups develop data-driven solutions that offer market insights using historical market and customer data. Such prediction models utilize artificial intelligence (AI) to increase accuracy, which ultimately leads to higher sales.
Based in the US, Social Standards is a data science startup that develops Market Insights OS, a proprietary platform to explore complex consumer data. The startup uses comparative analytics and collective intelligence on data points from public posts on social media to offer market insights. Social Standards continuously updates its database with new posts to find authentic consumer data. The solution also enables food and beverage companies to contextualize and visualize unstructured social data and optimize their operations and products, in addition to marketing.
Jovian Technologies offers AI-driven Competitive Intelligence
Consumers decide the next food trend through their behavior and response to product marketing strategies. As a result, food companies and brands use machine learning (ML) algorithms to develop new products that closely match customer preferences and offer a higher chance of success. Accurate customer intelligence, based on customer ratings on product websites and thoughts they share on social media, further improves new product development, quality management.
Jovian Technologies is a US-based startup that provides AI-driven competitive intelligence on food and beverage products. The startup applies market analytics, consumer insights, and ingredient trends using ML to identify the presence of similar products and their success in the market. The solution also improves the new product development process for food businesses. Further, the startup’s platform is built on Neo4j graph-based technology that is scalable with big data. The codeless configurator engine in Jovian Technologies’ solution also helps in extending data models.
IQ Chef provides Customer Analytics-based Food Recommendation
While AI-driven product development potentially increases success rates, startups also use advanced analytics to improve marketing and distribution for existing food products. For example, insights into consumers’ order histories and dietary preferences enable food brands and restaurants to market products that meet demand. This, in turn, improves sales and customer loyalty.
IQ Chef is a Swedish startup that offers a SaaS-based food recommendation engine. The engine analyzes consumer behavior, taste preferences, buying patterns, and dietary habits to predict buying patterns, reduce food waste, and recommend products. IQ Chef’s solution also enables food companies to reduce purchasing costs and increase sales, which improves production efficiency. Moreover, the startup’s SaaS engine strengthens customer loyalty since food brands deliver the exact products that customers want.
SentiSum automates Customer Ticket Tagging
Customer assistance solutions offer a dedicated channel for customers to interact with food brands. This way, food businesses collect consumer-related data that directly impacts business operations. Through chatbots, food companies now automate the time- and resource-intensive customer support process. By utilizing natural language processing (NLP) in the backend, startups boost the efficiency of these customer-facing chatbots and voice bots. This, in turn, improves consumer satisfaction and facilitates data acquisition.
British startup SentiSum develops an AI-powered customer ticket tagging solution for the food and beverage industry. The startup’s NLP engine understands as well as tags text and voice data. SentiSum’s approach in customer ticket tagging integrates accuracy, granularity, and real-time data, providing the bigger picture for business operations. The startup also provides auto-routing, customer satisfaction (CSAT) analytics, and auto-prioritization tools, among others.
Discover more Food Tech Startups
Food startups such as the examples highlighted in this report focus on market and consumer insights, analytics-driven food recommendations, and AI-based competitive intelligence. While all of these technologies play a major role in advancing the food industry, they only represent the tip of the iceberg. To explore more food technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free FoodTech Innovation Report to save your time and improve strategic decision-making.
