Features
Six revenue leaks.
One operator that seals all of them.
Every D2C brand leaks revenue at the conversation layer. Abandoned carts, unanswered DMs, slow returns, missed repurchase windows. Revvlab runs a dedicated fix for each — simultaneously, from day one.
38% of the customers who left today will buy — if someone follows up fast enough.
The problem
The average D2C brand recovers 5-8% of abandoned carts because their follow-up is slow, generic, and sent to an inbox nobody opens. Your WhatsApp open rate is 92%. Your cart recovery WhatsApp open rate is probably 0%, because you're not sending one.
How Revvlab handles it
Revvlab detects every abandoned checkout the moment it happens — whether you're on Shopify, WooCommerce, or another platform. Within 60 minutes, the customer gets a personalised WhatsApp message that references their exact product, their variant, and their cart total. If they don't respond, a second message follows at 24 hours with a policy-matched offer. A third at 72 hours is the last push. The operator stops the moment they buy — no over-messaging.
Every message is written in your brand tone. If your brand voice is warm Hinglish, the recovery message is warm Hinglish. If it's formal English, it's formal English. The AI checks live inventory before every message — it will never push a product that's out of their size.
Every 'is this available?' is a buyer with their wallet open. Most brands answer 4 hours later.
The problem
When a customer DMs you after seeing a Reel, their intent is at its peak. If you reply in 8 seconds, conversion rates are dramatically higher than if you reply in 4 hours. Most founders know this — and most are still replying at 4 hours, because they can't keep up.
How Revvlab handles it
When an inbound DM arrives on WhatsApp or Instagram, the operator identifies what the customer is asking about, looks up that product in your live store catalog, and replies with the exact product link, size availability, price, and a checkout URL — in under 8 seconds, 24 hours a day.
The operator handles the full conversation: questions about sizing, delivery timelines, COD availability, return policies. If the customer is close to buying but hesitating, it can apply a policy-approved nudge (free shipping, for example). Every conversation is tracked to a final order so you know the exact conversion rate.
A fast return builds loyalty. A 3-day wait builds a 1-star review.
The problem
Returns are painful for both sides. The customer is already frustrated. If you take 3-4 days to respond, they escalate to a chargeback or a public complaint. If you handle it fast and fairly, they buy again. The problem is most return workflows require a human at every step.
How Revvlab handles it
The customer sends a WhatsApp message saying they want to return. The operator asks them to send a photo of the item. It analyses the photo against your return policy rules, makes a decision, and sends a resolution — replacement, refund initiation, or pickup request — typically in under 15 minutes.
You set the rules: what qualifies for a return, what doesn't, what image evidence is required. The operator applies them consistently, 24/7, with no variation. Every return case is logged with the photo, the decision, and the resolution timeline. You can audit or override any case from the mobile app.
Your past buyers are your best prospects. Most brands send them nothing.
The problem
A customer who bought from you 60 days ago is 5x more likely to buy again than a cold audience. You spent money acquiring them. Getting them to repurchase costs almost nothing — if you message them at the right time, through the right channel, with the right product.
How Revvlab handles it
Revvlab reads your store order history and identifies every customer whose typical repurchase window is approaching. It sends them a personalised WhatsApp message at the right moment: referencing their last purchase, suggesting a relevant next product, and making it easy to reorder in one tap.
The timing is product-aware. A skincare brand with a 30-day consumable cycle gets different timing logic than a fashion brand with a 90-day seasonal cadence. You set the category logic once, and the operator applies it across your entire customer base automatically, every day.
Your customers should feel like they're talking to your best team member — not a chatbot.
The problem
Generic AI chatbots are detectable in 2 messages. They use formal English when your brand speaks Hinglish. They respond with canned text when the customer is frustrated. They don't know your latest collection, your return policy exceptions, or the specific quirk of your most popular SKU. Customers notice, and they drop off.
How Revvlab handles it
The AI Brain is trained on your brand specifically. It ingests your last 6 months of real conversations, your product catalog, your FAQs, your return policy, and your brand voice guidelines. The result is an operator that replies the way your best sales person would reply — naturally, on-brand, and in whatever language the customer writes in.
Every conversation where you override the AI's reply is a training signal. The brain gets better every week. After 60 days, most brands find the AI is composing replies they wouldn't change. The autonomy controls let you dial how much it does — suggest mode means you see every reply before it sends; autonomous mode runs end-to-end.
You should know which Reel closed revenue, not just which one got impressions.
The problem
Most D2C brands measure success by Reel views, story impressions, and ad ROAS. None of those metrics tell you which creative drove a conversation that became an order. You're optimising for proxies instead of outcomes.
How Revvlab handles it
Revvlab tracks the full attribution chain: from the ad or organic post that triggered the first DM, through the conversation, to the order. Every rupee of AI-closed revenue is tagged to the conversation that earned it, and the source — organic post, specific ad, story, Reel — that started it.
The revenue dashboard shows you total AI-closed revenue, conversation-to-order conversion rates, average order value by channel, and channel-level ROI. Attribution data is pushed to Meta CAPI and Google Ads so your ad platform's algorithm gets the signal. Mobile founder app gives you the same view on your phone.
🌙 How the math feels at 2 AM
A buyer messaged at 2:04 AM.
Your operator had already closed the sale before your alarm went off.
She asked if the sage kurta was available in size S. The operator checked live inventory, confirmed in-stock, sent her size chart, applied her loyalty credit, and confirmed a ₹3,200 order — in 8 seconds. You woke up to a Shopify notification.
Autonomy controls
You set how much it does.
Change it per flow, any time.
Each flow (cart recovery, returns, DMs) has its own autonomy level. Cart recovery can be Autonomous while returns stays on Review.
Integrations
Connected in one afternoon.
No developer needed.
We handle the API wiring, webhook setup, and catalog sync. You connect your accounts via a guided flow. Setup typically takes 2-3 hours, not days.
WhatsApp Business API
Instagram DM
E-commerce
See all six flows running on your catalog.
30-minute demo. We'll show it live on your products.