{"id":32025,"date":"2026-01-09T01:30:19","date_gmt":"2026-01-08T22:30:19","guid":{"rendered":"https:\/\/www.inspark.com\/arama-motorlarindan-otonom-karar-mekanizmalarina-agentic-commerce-cagi-basliyor\/"},"modified":"2026-01-29T01:38:51","modified_gmt":"2026-01-28T22:38:51","slug":"arama-motorlarindan-otonom-karar-mekanizmalarina-agentic-commerce-cagi-basliyor","status":"publish","type":"post","link":"https:\/\/www.inspark.com\/en\/from-search-engines-to-autonomous-decision-mechanisms-the-era-of-agentic-commerce-begins","title":{"rendered":"From Search Engines to Autonomous Decision Mechanisms: The Era of Agentic Commerce Begins"},"content":{"rendered":"[vc_row rt_row_background_width=”default” rt_row_style=”default-style” rt_row_borders=”” rt_row_paddings=”true” rt_bg_effect=”classic” rt_bg_image_repeat=”repeat” rt_bg_size=”cover” rt_bg_position=”right top” rt_bg_attachment=”scroll” rt_bg_video_format=”self-hosted”][vc_column rt_wrp_col_paddings=”false” rt_border_top=”” rt_border_bottom=”” rt_border_left=”” rt_border_right=”” rt_border_top_mobile=”” rt_border_bottom_mobile=”” rt_border_left_mobile=”” rt_border_right_mobile=”” rt_bg_image_repeat=”repeat” rt_bg_size=”auto auto” rt_bg_position=”right top” rt_bg_attachment=”scroll”][vc_column_text css=””]For nearly 25 years, the \u201cGoogle Model\u201d\u2014the absolute ruler of the digital world\u2014was built on users entering a keyword and selecting from thousands of results. However, as emphasized in the recent article by strategic consultant and academic Serkan Ko\u00e7, this model is now being considered \u201cinefficient.\u201d This is where Agentic Commerce<\/strong> steps in, liberating the user from this cognitive load. This shift is more than just a technology update; it represents a fundamental change in the \u201coperating system\u201d of commerce. As INSPARK<\/strong>, we are closely analyzing this new era, which evolves in parallel with Salesforce\u2019s Agentforce<\/strong> vision.[\/vc_column_text][vc_column_text css=””]1. A New Paradigm in Payment Systems: Agentic Commerce and the Farewell to \u201cCheckout\u201d<\/strong><\/p>\n

The \u201cCheckout\u201d process has been at the center of digital commerce transformation for years. Today, however, we are talking about the autonomization of the payment action itself, rather than just optimizing a payment page.<\/p>\n

In traditional e-commerce, brands reach consumers through visual interfaces on websites and apps. In the era of Agentic Commerce, the interface becomes \u201cinvisible.\u201d Consequently, User Experience (UX)<\/strong> gives way to Agent Experience (AX)<\/strong>. If a purchasing decision is made by an AI agent rather than a human, brands need structured data that agents can read, rather than bright \u201cBuy Now\u201d buttons.<\/p>\n

This marks the peak of the \u201cZero-Click\u201d<\/strong> economy. Giants like Visa, Stripe, and OpenAI are already shifting the \u201chuman-to-interface\u201d interaction at the core of commerce toward \u201cagent-to-agent\u201d protocols.<\/p>\n

For businesses, the question is shifting from \u201cHow do I block bots?\u201d to \u201cHow do I welcome trusted purchasing agents?\u201d At INSPARK<\/strong>, we recommend the following strategic steps:<\/p>\n

    \n
  • Agent-Ready Infrastructure<\/u>:<\/strong> Product catalogs should be made compatible with structured data and dedicated API endpoints that AI agents can easily crawl and understand.<\/li>\n
  • Trusted Agent Differentiation<\/u>:<\/strong> Protocols like Visa TAP should be integrated to distinguish malicious bots from trusted agents with purchasing authority.<\/li>\n
  • Agentforce Integration<\/u>:<\/strong> By leveraging Salesforce Agentforce<\/strong>, businesses can establish an “Agent Center” to manage both sales agents and incoming buyer agents.<\/li>\n<\/ul>\n

    2. CES 2026 and the Invisibility of Commerce<\/strong><\/p>\n

    At CES 2026<\/strong> in Las Vegas, a key topic was how commerce is no longer a \u201cdestination\u201d but an \u201cinvisible service\u201d within our living spaces. Traditionally, commerce began when consumers \u201cnoticed a need.\u201d However, technologies like GE\u2019s Instacart-integrated smart refrigerator and LG\u2019s home assistant robot (CLOiD<\/strong>) are redefining this. These AI-driven devices don’t just notify you that \u201cmilk is out\u201d; they analyze consumption speed, nutritional preferences, and current market prices to autonomously create the most optimal order.<\/p>\n

    In this world of autonomous ordering, the \u201cshelf war\u201d for brands is replaced by an \u201calgorithm war.\u201d<\/strong> As traditional advertisements (TV, billboards, etc.) lose impact, two concepts become paramount: Loyalty 2.0<\/strong> and Data Integration<\/strong>. Loyalty is no longer just an emotional preference but a \u201cdefault setting\u201d within a device.<\/p>\n

    For brands in recurring purchase categories (e.g., pet shop, personal care), INSPARK<\/strong> suggests:<\/p>\n

      \n
    • Commerce-as-a-Service<\/u>:<\/strong> Moving beyond selling products to providing services like \u201cmanaging the household\u2019s dairy needs\u201d via Salesforce Commerce Cloud<\/strong>.<\/li>\n
    • IoT and API-First Approach<\/u>:<\/strong> Adopting a Headless Commerce<\/strong> roadmap to ensure products can “talk” to smart home assistants.<\/li>\n
    • Data Cloud Integration<\/u>:<\/strong> Using Salesforce Data Cloud<\/strong> to process real-time usage habits and automate personalized offers.<\/li>\n<\/ul>\n

      3. The New Frontier of Modern Marketing: LLM Referrals and AIO Strategy<\/strong><\/p>\n

      At INSPARK<\/strong>, we closely follow the AIO (AI Optimization)<\/strong> revolution in data processing and continue to analyze how our business partners should position themselves in this new landscape, particularly on the marketing front. Traditionally, the core e-commerce strategy was: “How do I bring the customer to my website?”. However, in the era of Agentic Commerce<\/strong>, the customer may never visit the website at all.<\/p>\n

      Instead, Large Language Models (LLMs)<\/strong> provide refined answers directly to the user. Meanwhile, autonomous agents\u2014analyzing the user’s specific needs\u2014can execute the entire purchase transaction directly through your APIs<\/strong>. In this new era, marketing will target more than just human psychology, colors, or emotional triggers. Brands’ new target audience will be \u201cAutonomous Buyers\u201d<\/strong>.<\/p>\n

      Digital commerce is clearly shifting from \u201cdisplaying ads\u201d to \u201cproblem-solving\u201d. Just as the Google era taught us how to access information, the Agentic Commerce era promises to turn that information into action on our behalf. For the marketing world, the fundamental question is shifting from \u201cHow do I advertise?\u201d to \u201cHow do I ensure that agents prefer this brand?\u201d. In the age of AI, marketing is becoming a race for reliability and data accuracy<\/strong> rather than just a competition for attention. While ranking first on Google is a great start, for brands to truly prepare for the AIO<\/strong> and Agentic Enterprise<\/strong> ecosystems, collaborating with INSPARK\u2019s<\/strong> expert team to future-proof marketing strategies with Salesforce\u2019s AI capabilities<\/strong> is the right choice.[\/vc_column_text][vc_single_image image=”32021″ img_size=”full” css=””][vc_column_text css=””]4. From AI Experimentation to Measurable ROI and Profitability<\/strong><\/p>\n

      While 2025 was a year for \u201crecognizing and experimenting\u201d with AI, 2026<\/strong> is being recorded as the year of ROI (Return on Investment)<\/strong> and sustainable profitability. This new understanding of efficiency goes beyond viewing AI as a mere accelerator , it positions AI as an intelligent shield that prevents financial losses and guarantees continuity in the customer experience.<\/p>\n

      For instance, in return processes\u2014one of e-commerce’s largest cost drivers\u2014brands are moving away from “one-size-fits-all” policies toward AI-based dynamic scoring systems<\/strong> to combat return fraud and inefficient costs. At INSPARK<\/strong>, we are conducting R&D aligned with this technology. By consolidating historical purchase behavior, return frequency, and product interaction data through Salesforce Data Cloud<\/strong>, it is now possible to create a personalized \u201creturn score\u201d<\/strong> for every customer.<\/p>\n

      According to 2026 data from the UK\u2019s Boxing Day statistics, online shopping density has reached its peak for the last decade. This is not a step backward, but a \u201cPhygital\u201d (Physical + Digital)<\/strong> revolution backed by digital power. For businesses aiming to bring their operational efficiency up to 2026 standards, INSPARK<\/strong> experts recommend the following roadmap:<\/p>\n

        \n
      • Predictive AI Integration<\/u>:<\/strong> Utilizing Salesforce Einstein<\/strong> models to predict which products are highly likely to be returned before the return even occurs.<\/li>\n
      • Holistic Customer View (Customer 360):<\/strong><\/u> Unifying sales, service, and logistics data on a single platform to conduct real-time profit-and-loss analysis.<\/li>\n
      • Personalized Logistics<\/u>:<\/strong> Choosing shipment methods optimized by profit margins and customer value, rather than offering the same shipping option to every customer.<\/li>\n<\/ul>\n

        AI has already transformed from a \u201ctechnological Project\u201d into a \u201cfinancial strategy\u201d<\/strong> tool. Brands that optimize their operational processes with Salesforce\u2019s AI and data solutions<\/strong> and achieve an ROI-focused digital transformation will begin to differentiate themselves in 2026\u2019s high-pressure market.[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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