How SLIVE.AI Turned Retail Chaos Into One AI Operating System
Adriana Rivas, COO & AI Strategist at Bigwise Corp, helped launch SLIVE.AI as an AI-native retail operating system built to replace the usual stack of disconnected tools. In this interview, she shares how role-based AI agents, relationship-driven sales, and usage-led product decisions are shaping growth and retention.
In this edition of the Ecommerce Authority Playbooks series, we dive into how
Bigwise Corp grows, retains customers, and prepares for the future of search in 2026 and beyond.
The interview
1. What’s the quick origin story of your brand, and what makes your product or positioning genuinely different from other options in your niche?
Adriana Rivas: José Rivas Acevedo created SLIVE.AI as an AI-native retail operating system, and I co-led its commercial launch in October 2025. The idea was simple but rare in retail technology: instead of retailers running five or six disconnected tools for inventory, marketing, data, and purchasing, SLIVE.AI brings it all into one AI-native environment. What makes it genuinely different is that it does not just digitize existing workflows; it replaces them with role-based AI agents that handle marketing, data analysis, and purchasing directly, so the platform actively does the work rather than just displaying information.
2. Since launch, what have been the 1-2 real turning points for your brand-specific decisions, pivots, or experiments that noticeably changed your growth or profitability-and what did you learn from them?
Adriana Rivas: The clearest turning point came almost immediately after the October 2025 commercial launch. We saw 18 to 22 percent month-over-month growth and more than 380 percent cumulative growth in business adoption, which told us we had found real pain points, not just interesting features. The second turning point came when we watched how retailers actually used Astro Slive, our AI assistant. It evolved from a general helper into specialized role-based agents because users kept asking it to do very specific jobs: generate a product listing from one photo, pull a branch sales report by voice. The lesson was to let real usage patterns shape the roadmap instead of guessing what retailers would want.
3. Which 2-3 channels drive most of your revenue right now (for example SEO, paid social, email, marketplaces, influencers), and what have you learned about making those channels work in your category?
Adriana Rivas: For SLIVE.AI, the channels that matter most are direct enterprise relationships, our partner and reseller network across the United States and Latin America, and word of mouth from retailers who consolidated multiple disconnected tools into one platform and saw the difference immediately. What we have learned is that in retail technology, the sales cycle is relationship-driven and trust-based, so specific proof points, like a client going from five tools to one, convert far better than broad advertising ever could.
4. How are you thinking about search in 2026 – Google, AI assistants like ChatGPT, and other discovery platforms? What, if anything, have you changed in your content or site to stay visible as AI search grows?
Adriana Rivas: This question matters enormously for a product literally built around AI. We have had to make sure SLIVE.AI’s own content and site are structured clearly enough that AI assistants summarizing retail technology options can accurately describe what the platform actually does, not just index it as another generic tool. Traditional SEO still has a role, but we now write with the assumption that a growing share of discovery happens through an AI assistant synthesizing an answer rather than someone clicking through search results themselves
5. What do you do to turn first‑time buyers into repeat customers and advocates? Are there specific experiences, content, or community touches that work especially well for you?
Adriana Rivas: For SLIVE.AI, retention comes from the platform repeatedly proving its value, not from a one-time sales pitch. We see 82 percent monthly retention in key segments, and 68 percent of active users interact with Astro Slive weekly, which shows the platform has become part of daily operations rather than a tool forgotten after onboarding. The key driver is role-based agents: when a purchasing manager or marketing lead has an agent built for their exact job, the platform stops feeling like software and starts feeling like part of the team.
6. If you had to write a short playbook for an ecommerce founder one stage behind you, what would you double down on over the next 12 months – and what would you stop doing entirely?
Adriana Rivas: I would tell them to resist launching every module at once. Part of what made SLIVE.AI’s launch work was rolling out capabilities in a sequence that matched how retailers were actually ready to adopt them, rather than overwhelming users with the full platform on day one. What I would tell them to stop doing is measuring success purely by feature count. The metrics that mattered most for us were things like weekly engagement with Astro Slive and monthly retention, not how many modules we could list.
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