How Ace Blend Bridged the "Education Gap" to Unlock 20X ROI with AI

Every supplement brand runs into this eventually.

A buyer lands on a product page for an Omega-3 and Magnesium combo. Clearly interested. But before they add to cart, they want to know: Does this interact with my PCOS medication? Is the DHA dose clinically meaningful? Should I take this with Lion's Mane or instead of it?

A checkout flow cannot answer that. A static FAQ page at 11pm cannot either. And in the Indian supplement market, where buyers research carefully before they spend, those unanswered questions are usually where the sale dies.

For Ace Blend, a Fireside Ventures-backed plant-based nutrition brand selling across D2C, marketplaces, and corporate wellness channels, this was the real problem. Not product quality. Not pricing. A gap between what customers needed to understand before buying, and what their tools could tell them.

Who is Ace Blend?

Ace Blend makes proteins, functional drinks, and wellness supplements for the Indian health consumer who reads ingredient labels. Their product lineup is intentionally complex: unique formulations, clinical dosages, products that work differently depending on individual health goals. As Aishwary Mishra, their Head of IT and CRM, put it: "A high-consideration category where clarity and trust drive every conversion."

That framing shapes everything. Customers want to know if the formulation actually works, what the clinical dosage is, and whether the product fits their specific situation. Every new SKU launched created more of those questions, and existing tools had no way to answer them at scale.

A support team doing the job software should

When a customer asked which blend was right for someone with a thyroid condition, the system had nothing. Every clinical question about dosage, sourcing, or compatibility got routed to a human. Ace Blend's support team, which includes certified nutrition professionals, was spending most of its time answering basic ingredient questions.

The analytics problem was subtler but just as costly. Their tools could tell them who bought. They had nothing to say about the buyer who spent four minutes on a product page, tried three FAQ searches, and left. That person, the one who was ready to buy but needed one more answer, was invisible.

Stacking was off the table too. Supplement customers rarely want one product. They want a regimen. Without goal-based recommendation logic, Ace Blend could not suggest that a customer buying for focus might also benefit from a gut health product, or that two SKUs were clinically designed to work together.

As the brand grew, the manual load grew with it. Every ingredient question created agent work. The team was stretched across queries that should never have reached a human.

What Ace Blend deployed

Ace Blend brought in Manifest AI's full commerce suite. Three components did the work.

Instant AI Product Assistant

Instead of waiting for an agent or searching FAQs, customers now get accurate product answers immediately. Ask how much Omega-3 is in the Outshine Omega 3 and Max Magnesium Super Combo, and the AI responds: 1650mg per serving, with 743mg EPA and 528mg DHA. In seconds. With a product link and add-to-cart button in the same message.

Aishwary built the training logic himself from the ground up: standard flows for predictable queries, AI handling for nuanced ones, and hard escalation triggers for anything sensitive. Within the first week of going live, the AI was already contributing 9.2% to sales, with interacting customers converting at a 9% higher rate than those who did not engage. Aishwary's assessment after that first review was that the AI was finding the right balance between accuracy and a useful response, even before significant product data had been uploaded. That early signal held.

Contextual PDP Nudges & Stacking

The product detail page is where most buying decisions happen, and where most of them fall apart. Manifest AI places a floating nudge bar on the page with suggested questions drawn from what the customer is actively browsing: "What are the benefits of Max Magnesium?" or "What is the source of your Omega-3?" The questions that would otherwise go unasked, answered before the customer has to go looking.

The AI also identifies stacking opportunities. A customer browsing Omega-3 might receive a contextual offer for a complementary product at 20% off, with a short explanation of how the two work together. Over the 30-day study period, 1,140 nudges converted passive browsing into active conversations.

WhatsApp AI Integration

Ace Blend's customers are already on WhatsApp. Manifest AI puts the same product assistant in that channel, answering ingredient queries, explaining formulations, and recommending products without redirecting anyone to the website.

WhatsApp turned out to be the best-performing channel of the three. It generated a 15X ROI on its own over the 30-day period.

The Results

Revenue: The deployment drove $54,000+ in attributed revenue. WhatsApp generated a 15X ROI. 33% of Ace Blend's total sales over the period were attributed to AI-assisted conversations.

Orders: 700+ orders driven via Manifest AI, with a 19.27% add-to-cart rate from customers who engaged with the AI and a $24+ average order value.

Support: 5,788 queries resolved by AI with no human involved. Only 186 conversations (3%) escalated to an agent. 97% reduction in agent effort.

Engagement: 5,518 shoppers assisted, 6,053 guided conversations completed.

What changed beyond the numbers

The nutrition professionals on Ace Blend's support team now handle what actually requires their expertise: complex health situations, B2B queries, high-value retention conversations. The repetitive ingredient questions, which used to consume most of their day, no longer reach them.

Aishwary still reviews conversation data regularly, looking for drop-off points, recurring fallbacks, and what the AI should handle better next cycle. The 97% deflection rate and 33% revenue attribution came from months of deliberate setup, not from installing a tool and walking away.

In their own words

"Manifest has been one of the most effective deployments for us when it comes to helping customers make informed decisions. The setup was seamless, and the platform's interface is designed to help teams adapt quickly and move faster. Cross-integration with the helpdesk helps in alerting and allocating agents where human intervention is required. Highly recommended."
-Aishwary Mishra, Head of IT and CRM, Ace Blend

Want to see what this looks like for your brand?

The numbers above are specific to Ace Blend's 30-day window. Your category, product depth, and support setup will shape what's realistic. If customers are leaving your product pages with unanswered questions, that's worth a conversation.

*Data sourced from Ace Blend's Manifest AI dashboard, October to November 2025