Dobu — Ecommerce Order Capture Agent
Dobu — Ecommerce Order Capture Agent
Checkout flows remain the single biggest leak in every online store's revenue funnel. Baymard Institute data across 49 studies shows average cart abandonment at 70.19%, with "too long or complicated checkout" as the third most cited reason. This AI agent sidesteps the problem entirely by replacing multi-step checkout pages with a single conversational thread. Customers tell the bot what they want, confirm details like quantity and delivery address, and submit a complete order — all without navigating away from the conversation. For ecommerce teams running on Shopify, WooCommerce, or custom storefronts, this agent connects to your existing backend through Zapier, webhooks, or direct API integration so orders arrive structured and ready for fulfillment.
Dobu — Ecommerce Order Capture Agent
Every percentage point of cart abandonment you recover goes directly to revenue. Here is what ecommerce teams see after deploying a conversational order agent.
Cart abandonment costs ecommerce businesses an estimated $260 billion in recoverable revenue annually in the US and EU alone, according to Baymard Institute. Conversational ordering agents attack this problem by compressing multi-page checkout flows into a single, continuous conversation. Ecommerce operations using Tars conversational agents see abandonment rates drop by 20-35% compared to their standard checkout, because the guided format removes the navigation friction and decision fatigue that cause shoppers to leave.
Contextual upsell and cross-sell recommendations delivered within a purchasing conversation drive 10-15% higher average order values compared to static "customers also bought" widgets. The agent recommends add-ons at the exact moment a customer has committed to a purchase — the highest-intent point in the journey. For a store averaging $80 AOV, a 12% lift means an additional $9.60 per transaction. Across thousands of monthly orders, that compounds into meaningful revenue growth without incremental ad spend.
A significant portion of ecommerce support tickets — often 40-55% — relate to pre-purchase questions about sizing, availability, shipping timelines, and return policies. The AI agent resolves these inquiries inline within the shopping conversation before they ever become tickets. IBM research estimates the average customer service interaction costs $8-$15 in consumer goods. An ecommerce operation handling 2,000 pre-purchase inquiries per month at $10 each spends $20,000 monthly on questions the agent can handle automatically, freeing support staff to focus on complex post-purchase issues.
Dobu — Ecommerce Order Capture Agent
features
Capabilities engineered to solve the specific friction points that cause ecommerce stores to lose revenue between product interest and completed order.
The average online store carries hundreds to thousands of SKUs, and choice overload is a documented driver of abandonment. The AI agent functions as a digital shopping assistant: it asks what the customer is looking for, filters by category, price range, or feature, and surfaces the two or three most relevant options. This is the same consultative selling approach that high-performing in-store associates use, now available on every page of your site at any hour. Ecommerce brands using guided selling bots report 25-35% higher conversion rates compared to standard browse-and-add-to-cart flows.
Ecommerce orders frequently involve variants — size, color, material, bundle options, subscription frequency. The agent handles multi-variant selection through structured conversation steps, confirming each choice before moving to the next. This eliminates the common problem where customers select the wrong variant on a crowded product page and only discover the error after delivery, which drives return rates and support costs. For stores with complex product configurations (custom apparel, build-your-own bundles, personalized items), this capability is particularly valuable.
When a shopper drops off mid-conversation, the agent can save their progress and preferences. If the customer returns, the conversation picks up where they left off. For shoppers who provided contact information early in the flow, the agent can trigger a follow-up email or SMS with a link to resume their order. This is fundamentally different from standard cart abandonment emails because the agent has the full context of the conversation — what the customer was looking for, which products they compared, and where they hesitated.
Nothing damages a customer's trust faster than completing an order only to receive an out-of-stock notification. The agent can be configured to check real-time inventory status via API before presenting products and to reflect current pricing including any active promotions or discount codes. When an item is unavailable, the bot suggests alternatives in the same category or captures the customer's email for restock alerts. This prevents dead-end shopping experiences and ensures you capture the lead even when inventory is constrained.
Dobu — Ecommerce Order Capture Agent
Deploy a conversational ordering experience that moves customers from intent to confirmed order in three steps.
Dobu — Ecommerce Order Capture Agent
FAQs
Tars connects to Shopify, WooCommerce, and hundreds of other platforms through native integrations, Zapier, and custom webhooks. Order data captured by the agent — product selections, quantities, shipping details, customer contact information — flows directly into your ecommerce backend in a structured format. For stores with custom order management systems or ERPs, the Tars API supports any platform that accepts webhook or REST API payloads. Setup typically takes hours, not weeks.
Tars is SOC 2 Type 2 certified, ISO 27001 certified, and GDPR compliant. All data is encrypted in transit and at rest. The agent collects order details and customer information within a secure environment, and data is transmitted to your backend systems over encrypted channels. For actual payment processing, the agent routes customers to your existing PCI-DSS compliant checkout or payment gateway rather than handling card data directly, maintaining your existing security posture.
Yes. The Tars platform supports rich media cards within conversations, including product images, descriptions, pricing, and clickable action buttons. Shoppers browse visual product cards, compare options side by side, and make selections without leaving the chat interface. This visual, conversational browsing experience is what drives the higher engagement and conversion metrics compared to text-only chatbots or traditional product listing pages.
Checkout optimization and conversational ordering solve different parts of the same problem. Optimizing your checkout page addresses friction for shoppers who have already decided what to buy and added it to cart. The AI agent addresses the much larger drop-off that happens before checkout — during product discovery and selection, where most ecommerce traffic is lost. The two approaches are complementary, and many Tars customers deploy conversational agents alongside their optimized checkout for maximum conversion recovery.
Yes. Tars supports multilingual conversations, which is critical for ecommerce brands selling across borders or in multilingual markets. You can configure separate conversational flows per language or use a single flow with automatic language detection. This matters especially for DTC brands expanding internationally, where localized ordering experiences significantly outperform English-only checkout pages in non-English-speaking markets.
The agent can be configured with fallback responses that acknowledge the gap and route the customer to a human agent for specialized inquiries. It can also capture the question and customer contact details so your team can follow up. For ecommerce operations with large catalogs, this hybrid approach ensures no customer inquiry goes unanswered while keeping the AI agent focused on the high-volume, repeatable order flows it handles most efficiently.
Yes. The Tars agent can be deployed on your website, WhatsApp, dedicated landing pages, and custom URLs. For ecommerce brands running paid social campaigns, you can link directly from Instagram, Facebook, or TikTok ads to the ordering agent. This creates a seamless path from ad click to product conversation to completed order, eliminating the multi-page journey that causes significant drop-off in social commerce funnels.
Most ecommerce teams have their agent live within a few days. The primary setup work involves configuring your product catalog, order fields, and backend integrations. Tars provides the conversational framework, deployment options (website widget, standalone page, WhatsApp), and integration connectors. For enterprise ecommerce operations with complex catalog structures or custom fulfillment workflows, the Tars team provides hands-on deployment support to ensure the agent maps correctly to your existing systems.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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