Envive AI

If you're trying create better, more efficient, and more accurate customer service (that is also on-brand, safe and compliant), this is for you. I've spoken about how much I'm obsessed with Envive AI (formerly Spiffy AI) in the past, but it's only because they have developed a platform and system that truly aims to solve real-world e-commerce problems, not just retro-fit AI into a tech-stack for the sake of AI. Their team is completely obsessed with brand safety, compliance, guard-rails, and data-driven excellence. They continue to build world-class solutions that are changing the game for e-commerce businesses in meaningful, visible, incremental ways that are just undeniable. This case-study for Coterie is a shining example of what their platform is capable of, and how Aniket D. and his team are making the efficiencies of AI work to solve the real challenges your business is facing.

CarBahn needed a way to help shoppers understand complex performance products in real time. Envive AI (formerly Spiffy AI) trained an AI Sales Agent on their catalog and installation guides so customers could get reliable answers during the buying process. The result was a 13x lift in add-to-cart actions and a 10x lift in completed purchases. You can find the complete case study in the comment section.

Agents are officially the 2025 Buzzword of the Year. BUT my cofounder extraordinaire Sameer Singh still managed to drop hot 🔥 on the Enterprise GTM podcast with Vidya Raman on how 9 figure revenue brands are using our agents to reimagine the commerce experience. Here are my 3 favorite takeaways from the episode 1️⃣ The Future of Commerce is Agentic What do you get when you infuse LLM model parameters with brands' data including the product catalog, user behavior, and transactions? A brand specific reasoning engine, or (with less 🤓) a super smart AI brain that can make smart decisions with the category specific expertise that's relevant to users. Agents built on this brain can create substantial value across both ends of LTV:CAC ratio. 2️⃣ The Death of “You May Also Like” Legacy recommendation systems work off of patterns: “People who bought this also bought that.” Useful? Barely. Annoying? Definitely. But we’re moving toward a future where product recommendations are tailored by agents that identify and act off your ACTUAL preferences—not what an algorithm guesses based on strangers’ behavior. 3️⃣ Owning Your Own LLM > Generic LLMs LLMs are incredibly powerful, but they aren’t trained on real shopping interactions. That’s why so many chatbots feel sluggish and hallucinate. The alternative? Own a custom model that knows your customers, your brand voice, and your compliance needs. 🎧 Click the link in the comments to listen to the full episode

Many people don’t realize how much revenue slips away because of one simple issue: zero results in search. A customer mistypes a product name. They use shorthand like “16pro” instead of “iPhone 16 Pro.” Or they type a natural language request like “best phone case for travel.” The intent is there, but the system can’t interpret it, and instead of finding what they came for, they’re shown nothing. That moment quietly eats into revenue across every brand. BANDOLIER was running straight into this wall. Even highly-motivated shoppers looking for specific items couldn’t surface them in search. The demand existed, but the system simply wasn’t capturing it. When we partnered with Bandolier, we rebuilt search to actually understand customers' intent. Typos were corrected automatically. Synonyms were recognized. Natural language requests were interpreted the way people actually speak. And most importantly, relevant products started surfacing at the exact moment intent was strongest. The result was a 70% lift in checkout rate per search. Nearly one in seven shoppers who used our search ended up completing a purchase. For Bandolier, search went from being a friction point to being one of their biggest growth drivers. Read more about our collaboration here.

Every marketer dreams of this: 5× more add-to-carts. 7× more conversions. Zero extra ad spend. Kut From The Kloth pulled it off by tackling the one moment most ecommerce brands ignore — that tiny hesitation between interest and confidence. Instead of throwing more money at paid traffic, they used AI to help shoppers feel certain about what they were buying. The results? Game-changing. 👇 Comment Envive and I’ll send you the case study. It’s one of the best examples I’ve seen of AI making ecommerce more human. Envive AI (formerly Spiffy AI)

As we head into 2026, AI isn't an afterthought... it's the playbook. Envive.ai helps brands move from traditional eCommerce to AI-powered, agentic commerce.