Ask about needs and preferences, then compare relevant products from the merchant's catalog.
“Which light fits my camping trip?”
Warm light. USB-C. A match for your trip.
Agentic Sales answers product questions, compares suitable options and guides shoppers toward checkout using your own store content. Give every visitor a more useful shopping conversation.
The moment before a purchase
Ask about needs and preferences, then compare relevant products from the merchant's catalog.
“Which light fits my camping trip?”
Warm light. USB-C. A match for your trip.
Answer questions about sizing, materials, compatibility, shipping and published policies.
“How does it charge? When will it arrive?”
Recharge with USB-C.
Check timing for your address.
From product details & store policies
Help the shopper move from a useful answer to a product page, cart or supported checkout flow.
“That’s the one.”
Made for moments outside Warm light. Ready to wander.
An illustrative shopping journey, from a question to a next step.
Built around your store
Use the catalog and approved content as the foundation for answers.
Align the assistant's tone and presentation with your storefront.
Review available conversation, engagement and conversion information to understand how shoppers use the assistant.
The assistant stays close to the information, expression and outcomes that make your store yours.
Organize merchant content for external AI retrieval and track the channel's outcomes.
Explore Agentic PageAssist shoppers who are already exploring your storefront.
See a demonstrationAgentic Sales is moving toward usage-based plans. Talk with us about expected conversation volume, your catalog and deployment needs.
See how Agentic Sales would work with your catalog.
Most store chat exists to deflect tickets. Deeplumen exists to win the sale — it acts in the moments that decide whether a shopper buys or leaves.
By the time a support ticket is filed, the sale is already lost.
Deeplumen acts in the moment that decides it.
A shopper rarely leaves because one feature is missing. They leave because the store does not answer the question that matters at the exact buying moment.
Skin type, shoe fit, fabric, routine order, size, and usage frequency. These are sales questions, not support tickets.
Your catalog already has the answer, but the buyer needs a guide to compare formulas, materials, fits, colors and bundles.
Shipping, returns, discounts, bundle value, comfort and material questions should be resolved before the shopper drifts away.
The agent does not wait in a chat bubble. It appears where shoppers make decisions: while comparing, reading product details, building carts, and choosing bundles.
Deeplumen watches buying signals and generates the next best question or offer from the exact product context.
Long dwell, review reading, and material checks trigger precise help instead of generic pop-ups.
When shoppers search and hit a dead end, the agent routes them to relevant products and bundles.
Cart removals, hesitation, and exit intent can trigger reassurance, coupon logic, or a better-fit suggestion.
The agent detects long dwell and opens with the most likely doubt.
It turns “nothing found” into guided discovery.
Cart removal becomes a chance to explain value or offer a better fit.
Relevant reassurance beats a blunt discount banner.
Embedded Sales turns product-page questions into tappable answer blocks: reviews, sizing, stock, materials, usage, bundles and policy answers right beside the buy button.
Your voice, your colors, your assistant. Deeplumen adapts recommendations, follow-up questions, coupons and product language to the store, not the other way around.
Recommend products from user preferences, shopping behavior, and specific needs.
Ask follow-up questions when intent is vague, then narrow the catalog automatically.
Use chat context and purchase signals to keep future interactions more relevant.
Which size should I choose?Based on your usual medium fit, choose M for a neat shape or L for relaxed layering.
Is this cleanser gentle enough?Yes. It is positioned for daily cleansing and works best as the first step in a simple routine.
Is this sneaker good for wide feet?It has a soft upper and low-profile sole; size up if you prefer extra toe room.
Can my gift order arrive in three days?Yes, expedited shipping delivers in 2 days.
Understands nuanced shopper questions across sizing, ingredients, comparison, shipping, returns and order status.
Grounds every answer in your catalog, reviews, policies and Shopify data instead of generic web knowledge.
Finds unresolved questions, refreshes product knowledge, and improves answer patterns without manual prompt maintenance.
No code. No theme changes. No training data to upload.
One click from the Shopify App Store. No theme code touched, nothing to configure before it works.
The agent learns your catalog, collections, FAQs and policies automatically — and adopts your brand voice.
Switch on sales plays in one click — proactive nudges, embedded answers, recommendations — and watch conversations turn into orders.
Every conversation is tracked to its outcome. Which chats became carts, which nudges became orders, which products your AI sells best — no more guessing what the chat widget is worth.
AI-assisted orders are tagged automatically, so the dashboard shows revenue — not just message counts.
Expected monthly conversations and catalog size shape the plan.
Storefront setup, connected content and supported workflows are agreed up front.
Your early-access scope and pricing are confirmed before anything is activated.