For small DTC brands, AI integration isn’t as simple as it sounds. We hear this question a lot: “How do we implement AI?” If you’re an enterprise spending $50M a year on customer support, it’s easy: hire a specialist for $500K, plug them in, and the savings justify the cost. But if you’re a small brand spending $200K on support? That math doesn’t work. That’s where working with AI agencies like ours makes sense. We spread the cost across multiple brands, keep the AI tuned for your changing needs, and don’t just “set it and forget it.” Launching a new BFCM campaign? Running a limited-time 10% discount? You shouldn’t have to call in an engineer every time; we make those updates for you. We also vet the resolutions being provided by AI. The goal isn’t just to “implement AI” once. It’s to keep it evolving so it keeps delivering value. That’s how smaller brands can get the same AI leverage that big players enjoy, without the enterprise-sized price tag. If you’re a DTC brand figuring out how to make AI work for you, let’s talk. #dtcbrands #ai #bfcm #customersupport
This is the part most people miss—AI isn’t one-and-done, it’s upkeep. For smaller brands especially, the edge comes from keeping systems tuned to real campaigns and real users, not just plugging in once and walking away. Sachin Jaiswal
Please think about where you want to implement AI before how, since a small D2C company wont be having too much data to look on, AI may not always help, focus on product.
Absolutely agree — for smaller DTC brands, the real challenge isn’t just cost but keeping AI aligned with fast-changing campaigns and customer needs. I help companies solve this by embedding fractional product + AI expertise that evolves with the business and drives measurable outcomes — without enterprise overhead. 🚀
Building Startup Ecosystem at EY India | AI/Deep-Tech | 3X Founder | Investor at Dzero.vc | IIM Calcutta | London Business School
2moThis obsession to go deep into customer's value chain and attempt to solve for all their CX needs is very inspiring!