Intellias Retail

Intellias is excited to partner with Avalara to help you manage tax compliance. Whether you’re a global enterprise or a one-person business, being tax-compliant is critical to your growth. Learn more: https://lnkd.in/ewTBmEFf #eInvoicing #Wayfair #TaxAutomation #AvalaraCRUSH

Retailers face intense pressure to adapt and thrive in an era of rapid technological change and myriad consumer expectations. To succeed, the focus is clear: elevate the customer experience with a unified commerce approach, seamlessly blending physical and digital interactions, or “phygital” experiences. Key? Real-time inventory tracking, empowered frontline staff, and AI-driven insights are proven to boost sales and enhance loyalty. Leading brands are transforming traditional retail and driving growth through data-driven merchandising, collaborative ecosystems, and next-gen retail media networks. A strategic approach today defines tomorrow’s leaders in retail. Download our new eBook TODAY: https://lnkd.in/eCYDmJce #RetailInnovation #UnifiedCommerce #PhygitalRetail #CustomerExperience #DigitalTransformation #RetailTech #Omnichannel

PriceSpider, the brand commerce leader that makes every moment shoppable, and Intellias, a global software engineering and consulting company, have announced a strategic partnership. The collaboration enhances each partner’s offerings, enabling e-commerce brands to leverage PriceSpider’s comprehensive solutions and Intellias’ expertise as a leading technology solutions provider for the world’s largest global brands. “As we continue to expand our reach and enhance our services, our partnership with Intellias represents a significant milestone,” said Anthony Ferry, CEO of PriceSpider. “Intellias’ deep understanding of global brand manufacturers and its technological expertise make it an ideal partner to help us reach unparalleled growth and exposure to a new caliber of potential customers.” #Ecommerce #DigitalInnovation #Partnership #GlobalBrands

A recent report by the return logistics company ZigZag Global and the research company Retail Economics highlights the staggering £66bn annual cost of returns in the UK e-commerce sector, driven by "serial returners." This trend presents both a challenge and an opportunity for retailers and brands. To mitigate losses, investing in advanced retail technology is vital. AI-powered size recommendations, AR fitting rooms, and enhanced post-purchase support can reduce return rates. Furthermore, data analytics can help brands better understand customer behaviors and optimize product listings, ensuring more accurate purchases. Retailers who leverage these technologies will reduce return costs and enhance customer satisfaction and retention. Alex Kulinchenko, Growth Enablement Director at Intellias, previously outlined the increasing financial burden of returns for retailers, highlighting the inefficiency of current strategies like "try before you buy" and circular schemes. He emphasizes the need for retailers to use granular data to understand return behaviors better and implement technologies like personalized search, better sizing tools, and generative AI for product descriptions. Deeper data insights and tech-driven solutions are essential to reducing return rates and improving margins. Learn more: https://lnkd.in/eie2P4PG #RetailInnovation #EcommerceReturns #AIinRetail #CustomerExperience #SustainabilityInRetail #SmartRetail #RetailTech #DataDrivenDecisions #DigitalTransformation #ReduceReturns

As retailers and brands increasingly leverage data to drive innovation, understanding the distinction between Data Mesh and Data Fabric is critical to optimizing technology investments. 🛒 Data Mesh offers decentralized ownership, allowing different teams to independently manage and deliver data as a product. This is ideal for retailers and brands with a broad product or service range looking to create agile, customer-centric strategies. 🛒 Data Fabric, however, centralizes data management and automates processes with AI/ML, enabling seamless real-time analytics across platforms. It’s suited for retailers and brands with complex supply chains and integrated omnichannel experiences. For retailers and brands, the choice hinges on their operational model. Those seeking autonomy and scalability across domains might favor Data Mesh, while those prioritizing cohesive, enterprise-wide insights may lean towards Data Fabric. The right investment ensures enhanced decision-making, personalized customer engagement, and operational efficiency in an increasingly data-driven retail environment. #RetailTech #DataMesh #DataFabric #TechInvestments #DigitalTransformation

As AI adoption accelerates, retailers and brands should be cautious about rushing to achieve immediate returns. Focusing solely on short-term ROI often results in underwhelming outcomes and missed opportunities for sustainable transformation. Retailers should invest in AI with a long-term vision, prioritizing robust data strategies, consumer-focused innovations, and scalable solutions. The true value of AI is realized when technology is carefully integrated into operations, improving both customer experience and efficiency over time. Want to harness the power of AI in software engineering to boost productivity and shorten time-to-market? Check out our AI Engineering Productivity Cookbook: https://lnkd.in/erh3yZYj #AIinRetail #TechInvestments #DigitalTransformation #SustainableGrowth

IT modernization is not just about deploying new technology but strategically aligning it with business goals. Successful modernization builds business capacity, drives industry influence, and opens new market opportunities. It requires leveraging current and future technology investments to foster innovation. Businesses need comprehensive tools that incorporate expertise for a smooth modernization journey. A Forrester study, commissioned by Intellias partner Rocket Software, surveyed 309 global decision-makers on mainframe modernization strategies. The study found that expertise and robust capabilities are crucial for a successful transformation, enabling businesses to modernize without disrupting operations. #ITModernization #DigitalTransformation #TechInnovation #CloudTransformation #BusinessStrategy

Amazon has unveiled new AI tools to improve the shopper experience and delivery operations. These updates reflect a growing trend of AI's central role in optimizing retail processes. 🔍 For Shoppers: AI enhances product recommendations and personalization, making it easier for customers to find what they want. As consumer expectations rise, personalized shopping experiences become increasingly crucial for retention. 🚚 For Delivery Drivers: AI-driven tools are helping to streamline delivery routes and improve efficiency. This addresses the ongoing demand for fast, reliable delivery while potentially reducing retailers' operational costs. 💡 What This Means for Retailers and Brands: Customer Experience: AI-powered personalization is moving from a competitive edge to a standard expectation. Retailers investing in these tools can better engage customers and build loyalty. Operational Efficiency: With AI improving logistics and supply chain management, there's an opportunity to enhance efficiency and reduce costs, making it a key area for investment. Strategic Investments: As Amazon continues to lead in retail innovation, other brands must consider how AI can fit into their technology strategies to stay competitive in a shifting market. AI's growing presence in retail signals a need for thoughtful investments in technology that can improve both customer experience and operational effectiveness. Read more: https://lnkd.in/eefw28Ub #RetailTech #AI #CustomerExperience #Logistics #Amazon

Data management is critical for retailers and brands looking to optimize their technology investments. Enterprise data management (EDM) is driving operational efficiency, personalized customer experiences, and informed decision-making. Retailers who leverage advanced EDM solutions can enhance data governance, unify fragmented systems, and derive actionable insights from large datasets. By integrating robust data strategies, retail brands can make more targeted tech investments. This results in smoother omnichannel experiences and better customer engagement, ultimately boosting competitiveness in a tech-driven market. Explore how to create a strong enterprise data management strategy to ensure secure, compliant, and efficient data utilization: https://lnkd.in/dk2dk55v #RetailInnovation #TechInvestment #DataDriven #CustomerExperience #RetailAnalytics #Omnichannel #AIinRetail #RetailStrategy #CloudSolutions #RetailTransformation

The recent "AI Engineering Productivity Cookbook" by Intellias emphasizes the transformative role of AI tools such as GitHub Copilot in enhancing developer efficiency. For retail technology, these insights offer compelling reasons for retailers and brands to invest in AI-driven software development. By adopting AI tools, retail companies can streamline development cycles, quickly integrate data and APIs, and build smarter digital storefronts and supply chain solutions. These investments enhance operational efficiency and position retailers to adapt swiftly in a fast-evolving market landscape. Read the full article and get the Cookbook here: https://lnkd.in/gCCuv7Yy #AI #RetailTech #AICoding #Innovation