# Willy Chavarria Used AI-Driven Email Automation to Scale BFCM Sales Without Adding Staff *The menswear brand deployed agentic commerce tools to handle peak-season customer engagement that typically requires manual coordination.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-10-23. Canonical: https://www.pops4.com/stash/articles/willy-chavarria-2026-10-23t09-6 Subject: Willy Chavarria Tags: email automation, bfcm, customer retention, agentic commerce, repeat purchase, klaviyo --- Willy Chavarria, the New York-based menswear brand, used agentic commerce tools to automate email sequences and retention workflows during Black Friday Cyber Monday, according to Modern Retail. The brand deployed AI-assisted customer engagement to handle the coordination load that typically requires manual work during peak selling periods. The brand used the technology to manage order optimization and customer retention touches across BFCM, automating decisions about send timing, segment selection, and message sequencing. Agentic commerce differs from standard email automation by making real-time decisions about customer engagement rather than running pre-set workflows. The system adjusted email cadence and content based on customer behavior without requiring a marketer to manually build every branch and trigger. The mechanism works because it compresses the decision cycle. During BFCM, a typical brand runs email sequences built weeks in advance, with limited ability to adjust once campaigns launch. Agentic tools monitor customer actions in real time and adjust messaging accordingly. A customer who opens but does not purchase receives a different follow-up than one who abandons cart at checkout. The system makes those routing decisions automatically, executing the kind of segmentation that would normally require a team member monitoring dashboards and manually firing sends. For a brand like Willy Chavarria operating without a large retention team, that compression matters. The brand gets the performance of multi-touch sequencing without the overhead of building and monitoring every path. The broader value sits in the retention layer. BFCM attracts first-time buyers who will never return unless the brand executes a specific post-purchase sequence. Agentic commerce automates that nurture path, moving new customers into repeat engagement without manual intervention. The tool identifies purchase timing, product category, and engagement signals, then adjusts the next message accordingly. A customer who buys outerwear in November gets a different January touchpoint than one who bought accessories. The system writes and sends those messages based on behavior data, not a static calendar. A small physical-product brand runs the same play with existing tools and a clear decision tree. Start with Klaviyo or Attentive and build three post-purchase flows: one for first-time buyers, one for repeat customers, and one for high-value orders. Use conditional splits based on order value and product category. For first-time buyers, send a welcome series that delivers three emails over **14 days**: brand story at day one, user-generated content at day five, second-purchase incentive at day fourteen. For repeat buyers, compress the timeline and skip the brand intro. Track open and click behavior, then route non-openers into SMS after **48 hours**. You do not need full agentic commerce software to automate decision-making. You need a clear map of customer states and the discipline to build flows that adjust based on behavior. If a customer clicks the second email but does not buy, send a product recommendation. If they do not open at all, send a different subject line via SMS. The cost sits in setup time, not software. Expect **15-20 hours** to build and test the flows, then ongoing monitoring during peak weeks. Budget **$200-$400/month** for email and SMS platform fees at **5,000-10,000 contacts**. The pattern holds across categories. Any brand selling a physical product with repeat-purchase potential benefits from automated retention sequencing. The first purchase is expensive to acquire. The second purchase defines whether the brand built a customer or rented attention. Agentic commerce compresses the gap between those two events by automating the touches that keep the brand present without requiring manual sends. Willy Chavarria used the tools to handle BFCM scale, but the underlying play works year-round for any brand that cannot afford to leave post-purchase engagement to chance. ## The takeaway Automate post-purchase flows with conditional splits based on order value and engagement, moving first-time buyers into repeat cycles without manual sends. --- ## Publisher **Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339. Principal and author: **Jenny Huang Goodman MPA MSc MHSA**. - Author: https://www.huanggoodman.com/about - LLM context: https://www.pops4.com/stash/llms.txt - MCP endpoint, for AI agents: https://mcp.pops4.com/mcp - Client dashboard: https://dashboard.pops4.com/ - Catalogue: 70,000+ products, 200+ brands