Guide Shoppers to the Right Choice, Keep Them Coming Back

Agent-assisted shopping acts as a concierge, guiding customers to the right product, completing the purchase, and staying with them through service and reorder. Not a bottom-corner chatbot; an agent that shops alongside the customer.

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The Challenge

Ecommerce teams face friction at every stage, from the first search to long after checkout.

Hard to articulate needs

Shoppers struggle to express what they want, and search and filters demand explicit inputs they don't have.

Decision paralysis

Spec overload without guidance, and no answer to the specific doubt, leaves customers unable to confidently choose.

Broken channel continuity

A conversation started on the web doesn't carry to mobile, chat, or SMS, so customers must start over and repeat themselves.

After the sale silence

Most experiences go quiet at checkout; service starts from scratch with no context, and the loyalty moment is missed.

Modern catalogs are larger and more complex than ever, while expectations for relevance, continuity, and guidance keep rising. When shoppers can't express intent, when the conversation resets in every channel, or when support starts cold after the sale, engagement drops and loyalty leaks. Agent-assisted shopping guides the customer to the right choice and stays with them across channels through purchase, service, and the next order.

The Solution

One concierge across the full shopping journey—from guided discovery through comparison, purchase, service, and re-engagement—delivering personalized interactions across web, mobile, chat, and SMS. Context carries across every channel and conversation, grounded in real-time pricing, inventory, and the customer's own history.

Guided Discovery & Visual Learning

Guided Preference Discovery

Discovery That Adapts to How Customers Think

The agent guides shoppers from a goal to the right product through conversation, asking the questions a human expert would, with guided choices and image-based selection rather than forcing customers through static filters.

Preference signals captured along the way improve relevance across the session and across visits, with clear "why this product" explanations that help shoppers choose with confidence.

A shopper smiling while comparing a product on their phone
  • Guided conversation

    Learns taste, needs, and constraints through the questions an expert would ask.

  • Progressive refinement

    Narrows recommendations as the session evolves.

  • Intent learning

    Adapts in real time to shopper behavior.

Expert Comparison & Product Q&A

Product Expertise & Comparison

An On-Site Expert for Every Shopper

The agent acts as an on-site product expert, answering questions in natural language right where doubt strikes—on the product page—and explaining features, use cases, and trade-offs in clear, practical terms.

Side-by-side comparisons built on real specs, price, and live stock help shoppers validate fit and choose confidently, so a moment of uncertainty doesn't end the session.

A smiling man holding a red shopping bag after an agent-assisted recommendation
  • Natural-language Q&A

    Answers shopper questions in clear, plain language.

  • Real comparisons

    Side-by-side on specs, price, and live availability.

  • Decision support

    Guides shoppers from interest to confident choice.

Checkout & Conversion

Checkout Guidance & Conversion

Reduce Hesitation, Close in the Conversation

The agent answers last-mile questions about shipping, fit, compatibility, returns, and warranties when they matter most, reducing hesitation before it turns into abandonment.

Where it adds real value, it suggests relevant add-ons or bundles and offers subscription or auto-replenishment, and completes the order in the conversation rather than bouncing the customer to a separate flow.

Two friends excitedly browsing products together on a tablet
  • Checkout guidance

    Answers last-mile questions about shipping, fit, and policies.

  • Abandonment prevention

    Reassurance and nudges that reduce uncertainty before purchase.

  • Upsell, bundles & subscriptions

    Relevant add-ons, bundles, and recurring options when they genuinely help.

Service, Resolution & Re-engage

Post-Purchase Service & Re-engagement

Service and Re-engagement, With Full Context

Because the agent already knows the customer, the order, and the conversation that led to it, service doesn't start from scratch. It answers post-purchase questions, handles returns and exchanges end to end, and escalates to a human with full context when a case needs one.

The agent also re-engages after the sale, checking in once the product arrives and recommending what the customer may need next based on what they actually bought.

A customer checking her order status on a phone while holding a delivery package
  • Contextual service & case resolution

    Issues diagnosed and cases handled end to end, with clean escalation.

  • Save the sale

    Lead with a replacement or alternative size, style, or fit before a refund.

  • Subscription management & re-engagement

    Pause, skip, or swap without hassle; timely, relevant next-purchase nudges.

Turn Browsing Into Confident Buying

Guide customers to the right products with intelligent, adaptive experiences across the journey.

Ecommerce Engagement

Outcomes

Ecommerce teams deploying agent-assisted shopping can expect measurable improvements across the journey, from discovery through repeat purchase.

Higher engagement

Longer sessions and deeper product exploration.

Improved conversion

Clear guidance and comparisons move shoppers from interest to purchase.

Reduced abandonment

Checkout support addresses hesitation before it turns into drop-off.

More repeat business

Post-purchase support and re-engagement turn buyers into repeat customers.

How Orium Helps

Orium partners with your ecommerce team to design and deliver agent experiences that improve discovery, conversion, and loyalty across the full journey.

  • Experience Strategy

    Identify the high-impact discovery and decision points worth solving first.

  • Agent Design

    Define interaction models, guided flows, and the post-purchase moments that build loyalty.

  • Platform Integration

    Connect agents to commerce, search, pricing, and inventory systems.

  • Optimization & Scale

    Continuously improve performance and expand across the journey.

More Engaging Ecommerce Means Measurable Results

Increase engagement, confidence, and conversion through intelligent guidance, and keep customers coming back.

Ecommerce Engagement

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