Top 10 Retail Industry Trends & Innovations in 2026

Executive Summary: What are the Top 10 Retail Industry Trends in 2026?

1. AI Integration: AI adoption is accelerating across retail and is projected to grow at a 23% CAGR from 2025 to 2030. Key innovations include predictive inventory planning and automated merchandising to hyper-personalization and self-checkout.
2. Retail Media Innovations: Retail media has become the “third wave of digital advertising,” with the global market expected to USD 36.53 billion by 2033. Sponsored search, in-store digital displays, and shoppable video enable closed-loop attribution and create new revenue streams for retailers.
3. Personalization: Data-driven personalization is a growth driver, with McKinsey noting revenue lifts of up to 40% for retailers that excel at it. Predictive analytics and genAI refine product recommendations, dynamic pricing, and conversational shopping assistants, while in-store technologies deliver real-time tailored offers.
4. Focus on Sustainability: Retailers increasingly prioritize sustainability as 73% of Gen Z consumers say they would change consumption habits to reduce environmental impact. Circular models, biodegradable packaging, digital receipts, and blockchain-based traceability solutions strengthen brand trust.
5. Retail Fulfillment: Micro-fulfillment centers and last-mile automation define the future of logistics, with the market expected to reach USD 43.45 billion by 2029 at a 46.8% CAGR. Buy-online-pick-up-in-store (BOPIS), curbside delivery, and robotics improve speed and cost efficiency.
6. Big Data & Analytics: The global retail analytics market will reach USD 20.22 billion by 2030 at a CAGR of 21.2%. Predictive analytics, clustering, and demand forecasting drive inventory optimization, while real-time insights enhance promotions, product placement, and store operations.
7. Immersive Customer Experience: AR, VR, and metaverse platforms create interactive retailtainment, with the VR in retail market projected to reach USD 24.1 billion by 2030. Virtual try-on, 3D visualization, and gamified brand experiences enhance engagement and boost loyalty among Gen Z consumers.
8. Omnichannel Commerce: Seamless integration of online and offline channels underpins competitiveness. The omnichannel commerce platform market is set to reach USD 12.74 billion by 2029. Social commerce, phygital stores, and voice-enabled shopping enable frictionless experiences across customer touchpoints.
9. In-Store Automation: Automation is reshaping physical stores, with the retail automation market projected to reach USD 71.91 billion by 2034. Robots, IoT, and AI optimize shelf management, navigation, and inventory, reducing labor needs and streamlining store workflows.
10. Smart Checkout: Self-checkout and contactless payment solutions improve speed and reduce labor costs. Technologies such as vision sensors, biometrics, and mobile scan-and-go drive adoption. Consumers enjoy frictionless transactions, whereas retailers are able to increase throughput while minimizing shrinkage.

Read on to explore each trend in depth – uncover key drivers, current market stats, cutting-edge innovations, and leading retail innovators shaping the future.

Frequently Asked Questions

1. How is AI changing the retail industry?

AI is transforming retail through hyper-personalization, predictive demand forecasting, virtual assistants, and supply chain optimization. It enhances customer experiences, streamlines operations, and boosts efficiency while also raising concerns around data privacy, ethical use, and integration across legacy systems.

2. How big is the retail industry?

The global retail industry is valued at USD 27.26 trillion in 2025 and is projected to reach USD 36.91 trillion by 2030, growing at a consistent CAGR of 6.25%.

4. What are the challenges in the retail industry?

Retailers face rising supply chain costs, inflationary pressures, and digital disruption. Many must balance online and offline operations while addressing store closures, regulatory hurdles, theft, and ethical AI adoption. Adapting quickly to consumer shifts and integrating technology efficiently remain the industry’s biggest challenges today.

Methodology: How We Created the Retail Industry Trend Report

For our trend reports, we leverage our proprietary StartUs Insights Discovery Platform, covering 7M+ global startups, 20K technologies & trends plus 150M+ patents, news articles, and market reports.

Creating a report involves approximately 40 hours of analysis. We evaluate our own startup data and complement these insights with external research, including industry reports, news articles, and market analyses. This process enables us to identify the most impactful and innovative trends in the retail industry.

For each trend, we select two exemplary startups that meet the following criteria:

• Relevance: Their product, technology, or solution aligns with the trend.
• Founding Year: Established between 2020 and 2025.
• Company Size: A maximum of 200 employees.
• Location: Specific geographic considerations.

This approach ensures our reports provide reliable, actionable insights into the retail innovation ecosystem while highlighting startups driving technological advancements in the industry.

Innovation Map outlines the Top 10 Retail Industry Trends & 20 Promising Startups

For this in-depth research on the top trends in retail and innovative startups, we analyzed a sample of 22 557 global startups and scaleups. This data-driven research provides innovation intelligence that helps you improve strategic decision-making by giving you an overview of emerging technologies across numerous industries. In the Retail Industry Innovation Map below, you get a comprehensive overview of the innovation trends & startups that impact your company.

Based on the Top 10 Retail Industry Trends & the Innovation map above, the TreeMap below illustrates the impact of the Top 10 Retail Industry Trends in 2026 and beyond.

Retailers increasingly adopt AI tools, with 70% of executives implementing AI capabilities in 2025 to improve personalization and operational efficiency. The pandemic exposed supply chain vulnerabilities, making fulfillment-improving retail technologies and a multi-channel presence essential for competitiveness.

In-store automation addresses labor shortages and improves productivity, while web3, the metaverse, and extended reality enable personalized customer experiences and operational efficiency. Moreover, there is a growing emphasis on supply chain transparency and sustainable practices.

Global Startup Heat Map covers 22 000+ Retail Startups & Scaleups

The Global Startup Heat Map below highlights the global distribution of the 22 557 exemplary startups & scaleups that we analyzed for this research. Created through the StartUs Insights Discovery Platform, the Heat Map reveals high startup activity in the US and Western Europe, followed by India.

Below, you get to meet 20 out of these 22 557 promising startups & scaleups, as well as the solutions they develop. These retail startups are hand-picked based on criteria such as founding year, location, funding raised, & more.

Want to Explore Retail Industry Innovations & Trends?

Top 10 Innovations & Trends in Retail Industry [2026 and Beyond]

1. AI Integration: Global Market to Reach USD 40 B by 2030

The global AI in retail market is projected to reach USD 40.74 billion by 2030, growing at a CAGR of 23.0% from 2025 to 2030. In retail, technologies such as AI, natural language processing (NLP), machine learning (ML), and deep learning (DL) are being used to enhance in-store operations and customer experiences.

Algorithmic merchandising optimized by AI enables predictive inventory planning and efficient stock allocation. This technology also increases supply chain efficiency and allows for cost and pricing optimization in storefronts and when sourcing goods from suppliers.

These applications of AI help retailers improve margins and devise optimal marketing strategies. AI-powered consumer behavior and sentiment analysis contribute to the hyper-personalization of product offerings and promotions. Additionally, AI is leveraged for product design customization and personalized recommendations, facilitating seamless customer journeys.

Puzl facilitates Advertisement Cost Optimization

US-based startup Puzl is an AI-based advertisement planning platform for supermarkets. It is a cloud-based platform that combines data from POS and enterprise retail planning (ERP) systems.

The platform then automates weekly ad planning and gross margin management. This allows supermarket brands and grocery stores to drive more traffic into the stores and, in turn, improve profitability.

DTEK automates Self-Checkout

DTEK, a UAE-based startup, offers AI-powered self-checkout solutions. It offers SWIFT, a platform that integrates AI, computer vision, and data analytics to transform the checkout process. By tackling common retail pain points such as long queues and inventory management challenges, SWIFT enhances in-store efficiency.

Its high-speed transaction capabilities accommodate multiple items simultaneously, ensuring throughput and increased customer satisfaction. Moreover, retailers integrate SWIFT with existing POS systems, offering diverse payment options for the shopping experience.

DTEK also entered the Polish renewables market by acquiring rights to build a 133 MW battery storage facility in southern Poland.

2. Retail Media Innovations: Ad Spend to Reach USD 100 B by 2028 in the US

As competition in retail intensifies, retail media is becoming a major growth driver, allowing retailers to turn digital storefronts and physical stores into advertising platforms. This shift creates new revenue opportunities while enabling brands to reach consumers with highly targeted and measurable campaigns.

The market outlook reflects this momentum. The global retail media platform market was valued at USD 16.77 billion in 2024 and is projected to reach USD 36.53 billion by 2033, growing at a CAGR of 9.3%. The retail media is now considered the “third wave of digital advertising” after search and social, with forecasts placing ad spend in the US alone to reach USD 100 billion by 2028.

Sponsored search results, programmatic ads, and in-store digital displays are becoming standard, while formats like shoppable video, connected TV, and AR-driven ads are creating immersive experiences. The key advantage lies in first-party data, allowing advertisers to link impressions directly to sales through closed-loop attribution.

Startups are also introducing “media-as-a-service” solutions, making retail media accessible beyond large chains. By combining revenue growth for retailers with personalized engagement for consumers, retail media is redefining the future of advertising in retail.

Retail Media IQ develops an AI-Powered Retail Media Platform

US-based startup Retail Media IQ builds an AI-driven retail media platform that applies multi-agent intelligence to manage advertising across multiple retail media networks. The system integrates directly with retailer APIs – it automates onboarding, campaign execution, and reporting without additional configuration.

Its AI engine continuously analyzes cross-network data to optimize three core functions: budget allocation, predictive placement selection, and dynamic bid adjustments. This process relies on real-time learning loops that refine keyword targeting and spend efficiency at scale.

The platform also standardizes performance tracking across networks, providing advertisers with consistent metrics and transparent visibility into campaign outcomes.

mimbi provides Retail Media Intelligence Software

French startup mimbi develops retail media intelligence software that connects to retail media networks, marketplaces, and sales systems through 100+ pre-built connectors and APIs. It automatically pulls in campaign, sales, and product information.

The platform then applies its AI-powered SQUARE model to harmonize metrics, normalize taxonomies, and resolve inconsistencies across sources. Users apply no-code transformations to group, filter, or define custom fields.

The system provides standardized reports and dashboards at campaign, keyword, and SKU levels. Thus, giving retail companies clear visibility into performance.

3. Personalization: 80% of Consumers Buy from Brands offering Personalization

Retail is rapidly moving toward a hyper-personalized era, where shopping experiences are tailored to individual preferences, behaviors, and contexts. Advances in AI, machine learning, and predictive analytics allow retailers to recommend products, optimize pricing, and create customized promotions in real time. This shift enhances customer satisfaction, strengthens brand loyalty, and drives higher conversion rates.

According to McKinsey, retailers that excel at personalization generate 40% more revenue from these activities compared to their peers. Furthermore, 80% of consumers are more likely to purchase from a brand that offers personalized experiences.

Beyond product recommendations, retailers are integrating personalization across the entire journey. Dynamic websites, individualized email campaigns, and AI-powered chatbots are creating seamless one-to-one connections. In-store, technologies like facial recognition and IoT sensors deliver tailored offers and product suggestions in real time.

Subscription models are also leveraging data to curate personalized boxes and reorder essentials automatically. The rise of generative AI further refines personalization by enabling natural, conversational shopping assistants and hyper-customized marketing campaigns.

Panorama AI builds a Customer Experience Platform

US-based startup Panorama AI develops a customer experience platform that integrates retail data from multiple sources into a unified customer profile. It uses built-in connectors and a low-code integration builder to capture behavioral, transactional, and sentiment data across channels.

The platform applies machine learning models to predict lifetime value, purchase probability, and product affinity, and it delivers these outputs into email, SMS, web, and paid media campaigns. Through its predictive engine and no-code orchestration, the company enables retailers to automate customer journeys with data-driven recommendations and targeted offers.

Kahoona enables Real-Time Customer Visibility

US-based startup Kahoona develops a real-time customer visibility platform that transforms anonymous website visitors into actionable audience segments. It captures first-party behavioral data during live sessions without using third-party cookies or collecting PII.

It then applies AI-based predictive models to infer traits like demographics, purchase intent, loyalty, and shopper type (e.g., “impulsive shopper” or “Gen Z-er”).

The solution integrates via plug-and-play connectors into marketing, personalization, retail media, analytics, and CDP systems. It enriches every anonymous user with more data points, enabling retailers to segment and personalize in real time, even for first-time visitors.

4. Focus on Sustainability: 73% of Gen Z Consumers Spend More on Green Products

As climate change impacts become more evident, customer consciousness about their shopping habits and lifestyles is increasing. This shift is leading startups and established retailers to incorporate sustainability into their product assortments and operations.

Trends such as organically grown food, locally sourced products, digital receipts, and emission-free shipping are advancing retail sustainability.

Did you know that approximately 73% of Gen Z consumers are prepared to spend more on green products, reflecting a significant generational shift toward sustainability?

In addition, retailers are adopting biodegradable packaging and renewable energy sources, which not only reduce environmental impact but also appeal to eco-conscious consumers.

Retailers are also striving to achieve net-zero goals by measuring the carbon footprint and energy efficiency of their operations.

On-demand manufacturing is being used to tackle overproduction, while rental or subscription business models are reducing wastage. The promotion of reverse commerce or reCommerce is encouraging a circular economy.

Retail startups are leveraging technologies like blockchain, NFTs, IoT, and 5G to enhance supply chain transparency, verify product authenticity, and facilitate distributed order management.

Further, a Nielsen survey found that 73% of global consumers are willing to change their consumption habits to reduce environmental impact.

Textile Genesis aids Supply Chain Traceability

Hong Kong-based startup Textile Genesis provides TextileGenesis, a fiber-to-retail supply chain traceability platform for the textile and fashion industry.

It uses blockchain, AI, and digital twins to trace and authenticate textiles to their source of origin across supply tiers.

The platform digitizes any textile assets such as fiber, yarns, or garments into its blockchain tokens, Fibercoins, that trace the flow of goods in real-time.

Sustainable textile and apparel manufacturers use this platform to certify the provenance information of their products and ensure ESG compliance.

TextileGenesis and EON have partnered to create digital product passports, enabling brands to connect the entire product lifecycle for improved supply chain optimization, customer transparency, and regulatory compliance.

reverse. supply enables ReCommerce

German startup reverse.supply develops a circular retail platform to advance retail reCommerce.

The startup’s reCommerce-as-a-service platform sources information on the second-hand market of a brand’s products. It then optimizes the second sale operations using an AI-driven grading system.

This enables brands to resell products through their own channels, extending product lifecycles. The platform also enables brands and retailers to increase brand value and sustainability efforts while improving customer loyalty.

5. Retail Fulfillment: Amazon’s Robots to Save USD 100 B Annually by 2030

Retailers are shaping their business strategies around retail fulfillment to achieve better market penetration. The proliferation of last-mile delivery services and micro-fulfillment centers meets customer expectations for same-day or faster deliveries.

Both physical and online retailers offer local and hyper-local delivery services, either by repurposing stores as distribution centers or collaborating with logistics partners. Buy-online-and-pick-up-in-store (BOPIS) and curbside pickup strategies drive store-based fulfillment.

Automation of fulfillment services tackles worker shortages, enables instant fulfillment, and improves order tracking. Startups employ automated guided vehicles (AGVs), autonomous mobile robots (AMRs), and drones for efficient last-mile delivery.

Moreover, the integration of cloud computing facilitates real-time data analysis. This technology provides valuable insights for improving inventory turnover and reducing overhead costs, thereby enhancing overall efficiency.

Speaking of the contribution of robotics, Amazon’s 750K+ robots in fulfillment are set to save up to USD 10 billion annually by 2030.

As per The Business Research Company report, the micro fulfillment market size will grow from USD 9.36 billion in 2025 to USD 43.45 billion in 2029 at a compound annual growth rate of 46.8%. Further, micro-fulfillment adoption is set to rise, with 64% of retail executives expecting more automated centers in five years to improve delivery.

Urbx Logistics provides Automated Micro Fulfillment

US-based startup Urbx Logistics develops automated storage and retrieval systems (ASRS) for grocery and eCommerce fulfillment.

The startup’s system, Curbside, enables micro-fulfillment in existing stores by automating picking and packing with its AMRs, Grid, and TowerBots.

The system is customizable to store requirements and includes racking systems, totes, pick stations, and software to manage and control the micro warehouse.

Urbx Logistics thus cuts down order fulfillment and processing time, increasing the delivery efficiency of local and multi-store retail chains.

Delivers.ai offers Autonomous Last-Mile Delivery Vehicles

Turkish startup Delivers.ai facilitates contactless and zero-emissions grocery and package delivery through its proprietary navigation technology and AGVs.

The startup leverages camera-based sensor fusion and AI to navigate its autonomous robotic delivery vehicles through traffic signals, and pedestrian, and cycling lanes.

This mitigates food tampering as well as ensures timely and contactless delivery.

Cloud kitchens, virtual restaurants, and online order platforms use Delivers.ai’s solution to optimize last-mile deliveries.

Delivers.AI also secured funding from investors including Japan Post Capital, Turkey Development Fund, Impetus Capital, and Istanbul Technical University, resulting in a valuation of USD 36 million.

6. Big Data & Analytics: Market to Reach USD 20 B by 2030

Insights into previously unmeasured retail metrics are now accessible through big data and analytics, revealing unexpected opportunities for process improvements.

Startups also utilize collaborative analytics to personalize the customer experience across various channels. Clustering data from first and third-party business sources into targeted segments yields valuable insights across key performance indicators.

Retail analytics enhances understanding of store and workforce performance, as well as customer traffic data. Demand forecasting and inventory management are now empowered by big data, leading to more effective retail planning.

Big data analytics in the retail market is valued at USD 7.73 billion in 2025 and is projected to reach USD 20.22 billion by 2030, growing at a CAGR of 21.20%.

In addition, the optimization of product placement and pricing strategies through such analytics enhances sales and profitability. These numerous opportunities for innovation and streamlining make big data one of the top retail industry trends.

Belle AI advances Retail Demand Forecasting

Belle AI is an Israeli startup that makes a solution for demand forecasting in retail businesses. It features automated planning in real-time and data mining. For this, the solution leverages behavior analysis.

Consequently, Belle AI enables retailers to improve inventory planning and avoid overstock or understock.

Palexy provides Retail Store Analytics

Singaporean startup Palexy ​builds Store Optimizer, a business intelligence platform for store health analytics. It combines big data and AI to collect data from POS systems, surveillance camera feeds, weather information, and promotion calendars.

Based on this data, the platform generates tailored reports on store performance and customer traffic.

This offers insights into store layout, product assortment, and workforce performance, enabling small stores and retail chains to improve promotion planning, staff allocation, and customer experience.

7. Immersive Customer Experience: 50% of B2C Companies Integrate VR Shopping

Engaging experiences in shopping translate into loyalty from customers, ensuring repeated sales and minimizing product returns. Immersive technologies like AR and VR offer shoppers a new dimension of interaction, including virtual try-on, 3D product visualization, and personalized recommendations.

These technologies also provide retailers with the ability to test products before launch, train employees effectively, and promote a no-inventory store format.

The metaverse, non-fungible tokens (NFTs), and gamified brand experiences are emerging trends in the retail industry, particularly in retail marketing as entertainment or retailtainment. These innovations have demonstrated their effectiveness in enhancing brand engagement and loyalty, particularly among Gen Z shoppers.

Further, the global market for VR in retail is projected to reach USD 24.1 billion by 2030, growing at a compound annual growth rate of 27.0%. Also, this year, 50% of B2C companies are set to integrate VR shopping into their omnichannel strategies for immersive experiences.

Mazing develops Web-based AR Software for Virtual Try-on

Mazing is an Austrian startup that provides web-based AR software for retail brands. It allows businesses to create AR-ready models from photos, CAD models, dimensional sketches, and 3D scans. Customers use a web platform to access the product models and try them on virtually.

The software eliminates in-house software development and, in turn, accelerates time-to-market for retail companies with online channels. At the same time, customers benefit from enhanced buying experiences, and the AR virtual try-ons improve buying decisions.

ONEWAYX offers Virtual Commerce Software

UK-based startup ONEWAYX designs a virtual commerce platform that converts standard eCommerce websites into immersive 3D virtual stores. It renders branded, navigable 3D store environments using either tailored design or a library of configurable templates.

It enables drag-and-drop merchandising, embeds gamified interactive elements, and supports virtual try-on, social “shopping with friends,” and metaverse deployments across platforms like Decentraland and Roblox.

It integrates with retailers’ systems via iFrame pop-ups or QR codes to connect with existing e-commerce infrastructure. The startup also provides real-time behavioral analytics and engagement tracking to guide merchandising decisions and monitor conversions.

8. Omnichannel Commerce: Platform Market to Reach USD 12 B by 2029

Retailers, both digital-native and brick-and-mortar, adopt a unified approach to captivate consumers. Integration of eCommerce and mobile commerce is a strategy employed by big box and small store retailers.

Online-only retailers, on the other hand, devise innovative methods to offer customers physical experiences. Phygital retail facilitates a smooth transition to a direct-to-consumer (D2C) strategy. It also enables retailers to adapt to small store formats with minimum inventory. Brands invest more in targeted digital advertisements for customer retention, demand shaping, and loyalty-building.

Social media platforms serve as new storefronts, enabling micro sales without redirecting customers to the store website. Advancements in social commerce include live streaming, post sharing, podcasting, and influencer networks on social media. Additionally, retail technologies like voice and visual commerce create opportunities for interactive upselling, cross-selling, and remarketing.

Further, the omnichannel retail commerce platform market is projected to grow from USD 7.48 billion in 2025 to USD 12.74 billion in 2029, reflecting a compound annual growth rate of 14.3%.

Confer With enables Social Commerce

Confer With is a UK-based startup that provides a social commerce platform to create a store-like shopping environment for customers.

The platform equips in-store staff to directly share product images as well as provide demos and shopping recommendations while engaging customers with video.

The live video shopping approach enables retailers to provide a personalized experience and boost customer loyalty.

Pairzon simplifies Omnichannel Marketing Automation

Israeli startup Pairzon combines customer data from online and offline touchpoints to automate omnichannel marketing.

The startup’s eponymous platform utilizes AI to enrich first-party business data from unknown in-store shoppers and assigns it an online identity.

This data is used to form audience segments and automatically deliver personalized promotions to previously unreachable shoppers online. This optimizes digital marketing efforts and drives revenue for physical retailers and brands.

9. In-Store Automation: Retail Automation Market to Reach USD 71 B by 2034

To provide a better, hygienic, and safer in-store experience, retailers are using cleaning robots and chatbots that offer optimum times to visit stores.

Workforce upgrades in startups are underway to align with automated stores, boosting productivity. These improvements allow for home-based order management and the operation of virtual shopping assistants. Conversational chatbots are deployed to address customer inquiries.

Technologies such as IoT, 5G, AI, edge computing, AR, and VR are revolutionizing store operations. These advancements facilitate efficient management of shelf space, inventory levels, and product labels.

They also guide customers in large stores through store navigation and positioning. In-store automation provides retailers with valuable data points to discover revenue opportunities, engage customers, and optimize store operations.

Moreover, the global retail automation market size is expected to reach from USD 31.77 billion in 2025 to USD 71.91 billion by 2034, growing at a CAGR of 9.5%.

Milky Way AI enables Remote Shelf Management

Singaporean startup Milky Way AI builds InstaShelf, a proprietary merchandising platform for remote shelf management. It combines computer vision and AI algorithms to analyze shelf photographs in real time.

The platform then provides insights into product performance and suggests corrective actions such as shelf replenishment.

It also generates alerts if products are out of stock, placed out of specification, or priced incorrectly. This reduces the time and cost of manual shelf audits and allows retailers to remotely manage store operations.

Coalescent Mobile Robotics makes an In-Store Transportation Robot

Danish startup Coalescent Mobile Robotics develops an in-store transportation robot, Serena, that automates the movement of trolleys within retail environments.

Serena navigates aisles at up to 1.5 m/s, operates safely alongside shoppers, and carries payloads up to 250 kg . The system maps store layouts with managers to define pickup and drop-off points, and staff interact via the Frida app to indicate trolley status and contents .

Additionally, the platform monitors robot health, battery levels, and charging through its R2N control system. By automating restocking, click-and-collect fulfillment, and other internal logistics, the company reduces manual transport effort and streamlines store workflows.

10. Smart Checkout: Self-Service Kiosks, BNPL & Contactless Payments Take the Lead

Contactless payments and cashier-less checkouts, powered by advanced technologies, are enhancing convenience and minimizing customer wait time.

Startups employ sensors, blockchain, NFC, and biometrics to automate and authenticate retail payments. Given that smartphones often serve as the initial digital touchpoint for most customers, mobile checkout has become a necessity.

Contactless point-of-sale (POS) solutions like scan-and-go use the customer’s smartphone for payment authentication, while facial ID checkouts and wearables rely on biometrics.

The implementation of self-service kiosks, automated checkouts, and Buy Now Pay Later (BNPL) strategies curtails queue and waiting times in stores. These technologies extend customer conversion beyond the store’s physical boundaries.

Retailers benefit from reduced labor costs and increased customer throughput, which is important during peak shopping hours.

Zeroqs builds a Smart Shopping Cart

Polish startup Zeroqs manufactures a patented smart shopping cart that functions as a self-service kiosk for faster checkout.

The startup’s shopping trolley, SmartCart, combines a barcode scanner, touchscreen monitor, as well as weight and vision sensors to scan products added to the cart.

Further, shoppers use the monitor to navigate through the store, make shopping lists, and automate payment using their preferred method.

This allows physical store owners to eliminate shopping queues and inventory shrinkage as well as push personalized offers to shoppers.

Leav offers Contactless Mobile Checkouts

Canadian startup Leav develops a smartphone-based contactless self-checkout platform.

It is integrated into new or existing stores with minimum infrastructural changes. Shoppers scan product QR codes using smartphones which redirects them to the retail store portal on Leav’s platform.

Moreover, the platform functions as a digital shopping cart and allows shoppers to pay for each item after scanning the product. This prevents theft, tracks inventory cycles, and provides real-time insights into store operations.

Discover all Retail Industry Trends, Technologies & Startups

The pandemic has accelerated the retail industry’s digital transformation, leading to the adoption of distributed order management and multi-hyphenate business models.

While edge computing offers solutions for data processing in a cookieless environment, digitization introduces risks that startups are addressing through cybersecurity and data protection measures. Sustainability remains central, with technologies like AI, blockchain, IoT, and data analytics driving efforts toward net-zero retail.

The Retail Industry Trends & Startups outlined in this report only scratch the surface of trends that we identified during our data-driven innovation & startup scouting process. Identifying new opportunities & emerging technologies to implement into your business goes a long way in gaining a competitive advantage.