AI for ecommerce and online stores
70% of shopping carts are abandoned before checkout. Customer service eats up your team's hours. Generic marketing doesn't convert. AI solves all three problems at once.
70%
Of carts abandoned (industry average)
35%
Conversion increase with AI personalization
80%
Of queries resolved without human intervention
4.8x
Average ROI on ecommerce automation
COMMON CHALLENGES
Massive cart abandonment
Seven out of ten customers add products to their cart and leave without buying. Generic recovery emails have 15% open rates and 2% conversion. You're not capturing the real reason for abandonment or responding in time.
Customer service that doesn't scale
The same questions over and over: "where's my order?", "can I change the size?", "when does it arrive?". Your team spends 70% of their time on repetitive queries instead of solving complex problems or closing sales.
Marketing without real personalization
You send the same campaign to your entire list. Recommended products are bestsellers, not the most relevant for each customer. Manual segmentation is slow and cross-sell opportunities are missed because nobody catches them in time.
Reactive inventory and pricing management
You adjust prices manually by watching competitors. You don't spot demand trends until stock runs out or piles up. Margins erode because you react late to market changes.
HOW WE HELP
AI cart recovery agent
A conversational assistant that contacts the customer in real time (WhatsApp, email, web chat) when they abandon their cart. It identifies the reason for abandonment, offers specific solutions (free shipping, alternative size, one-time discount) and closes the sale. This isn't a generic email: it's a personalized conversation.
[ VIEW_SERVICE → ]Automated customer service
Chatbot trained on your catalog, shipping and return policies, and real-time order data. Resolves 80% of queries without human intervention: shipment tracking, exchanges, cancellations, and product questions. Your team only handles cases requiring human judgment.
[ VIEW_SERVICE → ]Personalized marketing and recommendations
Automatic segmentation by purchase behavior, browsing, and preferences. Emails, push notifications, and product recommendations that adapt to each customer in real time. Cross-sell and upsell that works because it's based on real data, not intuition.
[ VIEW_SERVICE → ]Dynamic pricing and predictive inventory management
Automatic competitor price monitoring, demand elasticity analysis, and real-time price adjustment. Demand forecasting to prevent stockouts and overstock. Margins improve because prices reflect the current market, not last week's.
[ VIEW_SERVICE → ]FREQUENTLY ASKED QUESTIONS
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[STATUS] READY_TO_DEPLOY
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