Retailers Prepare Infrastructure for Peak Season Demands
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commercetools releases Black Friday 2026 readiness checklist for peak season

commercetools published a comprehensive Black Friday and Cyber Monday preparation guide covering functional and technical readiness for commerce platforms, with emphasis on AI-driven shopping behavior. Commerce teams must audit promotions, optimize API performance, and prepare product data for AI agents—which now account for up to 10% of referral traffic and generate 53% more revenue per visit than traditional shoppers.

commercetools released a detailed Black Friday 2026 readiness checklist addressing the evolving demands of peak-season commerce. The holiday shopping season represents as much as, and BFCM campaigns have expanded from a two-day event to six-week initiatives blending product drops, social media surges, and post-event bundles. The guidance covers functional readiness—auditing promotions, tuning cart settings, reviewing custom checkout logic, and validating stock at decision points—alongside technical best practices including error handling, observability, API optimization, and concurrency management.

AI-driven commerce has fundamentally reshaped peak-season dynamics., and. Nearly. Shopping agents and AI assistants now browse, compare, and complete purchases on shoppers' behalf—bypassing storefronts to call commerce APIs directly, generating multiple requests per purchase, and retrying automatically on delays. This shifts peak-season readiness beyond traffic capacity and storefront performance to ensuring promotions, carts, checkout flows, and inventory logic handle AI-driven behaviors. Brands must also prepare product data for AI discovery, give agent traffic separate credentials, align with agent partners on peak behavior, and implement robust error handling and observability systems to manage the increased concurrency and edge cases that peak season brings.

Sources:1 report