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      Subotiz Enables AI SaaS to Reduce CAC by 30%

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      Subotiz Enables AI SaaS to Reduce CAC by 30%

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    Ciente | MarTechCiente | MarTech
    Home»Data & Analytics»AI and Real-Time Data Can Transform Retail Pricing, Says Info-Tech Research Group in New Resource
    Data & Analytics

    AI and Real-Time Data Can Transform Retail Pricing, Says Info-Tech Research Group in New Resource

    By PRNEWSWIREApril 9, 2025No Comments4 Mins Read
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    Info-Tech Research Group’s newly published blueprint offers retailers a comprehensive guide to navigating the challenges posed by shifting consumer behavior. The resource equips IT leaders with actionable insights and practical strategies for implementing AI-enabled smart pricing and personalized promotions that enhance customer engagement and drive sustained growth.

    TORONTO, April 9, 2025 /PRNewswire/ – Facing growing economic pressures and rapidly shifting customer expectations, the retail industry is increasingly deploying AI-powered pricing and promotion technologies to stay competitive. For example, intelligent retail platforms leverage real-time data and machine learning to dynamically adjust pricing and tailor promotion, providing a personalized and efficient experience for customers. To help IT leaders successfully navigate this industry shift, global research and advisory firm Info-Tech Research Group has published its blueprint, Revolutionizing Retail With Smart Pricing and Promotion, which outlines how retailers can adopt and scale AI-powered pricing models to improve margins, efficiency, and customer loyalty.

    Info-Tech’s comprehensive resource provides IT leaders with real-world tools and actionable insights to navigate the complexities of adopting AI-driven pricing technologies in retail. The blueprint also emphasizes the importance of building a robust data foundation and outlines strategies to integrate advanced tools with existing systems for long-term value.

    “As data-driven strategies are increasingly evolving, smart pricing and promotion solutions for the retail industry have emerged, giving organizations tools for maximizing revenue, optimizing operations, and improving the customer experience,” says Donnafay MacDonald, research director at Info-Tech Research Group. “Not only do smart pricing and promotions solutions elevate an organization’s pricing strategy, but their AI engine and data outputs can be integrated and used to inform a variety of business operations, including distribution planning and allocations.”

    The firm’s resource identifies several critical challenges that IT leaders need to overcome, such as managing expectations around AI/ML outcomes, ensuring data quality, and addressing integration barriers with legacy systems. Retailers also face pressure to demonstrate ROI and shift away from fragmented tools and processes.

    According to Info-Tech Research Group’s research insights, retail organizations that implement smart pricing and promotion technology early are already seeing improvements across key business KPIs, including average transaction value (ATV), conversion rate, sell-through rate, and customer retention. The blueprint explains that dynamic pricing is directly tied to revenue potential and that a unified, data-driven strategy allows retailers to remain agile in a competitive market.

    Six Key Capabilities of Smart Pricing and Promotion Solutions

    For retailers to succeed, Info-Tech advises that smart pricing and promotion solutions need to deliver the following six capabilities:

    1. Real-Time Data & Performance Tracking: Enables immediate adjustments to pricing and promotions based on real-world conditions.
    2. Personalization & Segmentation: Segmenting customers based on key criteria delivers personalized pricing and promotions tailored to individual needs.
    3. Advanced Analytics: Transforms large datasets into insights to guide pricing strategy and promotional timing, which then feeds the dynamic pricing engine for continuous optimization.
    4. Dynamic Pricing Engine: Adjusts prices in real-time using inputs such as demand, available inventory, competitor activity, and customer behavior.
    5. Omnichannel Integration: Ensures consistent experiences across online and offline channels.
    6. Automation of Pricing & Promotions: Empowers teams to manage strategies efficiently using rules-based systems, including tools that support the design, deployment, and management of pricing strategies.

    Info-Tech’s blueprint also encourages CIOs to take a leadership role in driving pricing and promotion innovation. By championing AI-powered retail solutions, CIOs can enable cross-functional alignment, support business agility, and unlock competitive advantage. These modern capabilities present a clear path to delivering measurable business impact and positioning retail organizations for long-term success in a highly competitive market.

    For exclusive and timely commentary from Donnafay MacDonald, an expert in the retail industry, and access to the complete Revolutionizing Retail With Smart Pricing and Promotion blueprint, please contact pr@infotech.com.

    About Info-Tech Research Group

    Info-Tech Research Group is one of the world’s leading research and advisory firms, proudly serving over 30,000 IT and HR professionals. The company produces unbiased, highly relevant research and provides advisory services to help leaders make strategic, timely, and well-informed decisions. For nearly 30 years, Info-Tech has partnered closely with teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

    To learn more about Info-Tech’s divisions, visit McLean & Company for HR research and advisory services and SoftwareReviews for software buying insights.

    Media professionals can register for unrestricted access to research across IT, HR, and software and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.

    For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.

    SOURCE Info-Tech Research Group

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