Next-gen customer service
OrchLink replies to your shoppers in seconds — products, orders, promotions — lifting conversion and cutting support cost around the clock. A multi-agent engine absorbs the routine so your team closes the high-value deals.
Higher conversion · lower cost · no over-promising
From browsing to after-sales, each handled by a dedicated skill — no overreach, no over-promising
Product info, sizing, comparison, restock, authenticity, usage guides; with no product ID, retrieves candidates by semantic need and clarifies preferences naturally.
Answers gift-with-purchase, gift rules and coupon usage; fills missing promo facts via tools, never handles out-of-scope account/voucher issues.
Service guarantees, shipping insurance, 7-day returns, late-shipment compensation rules; out-of-scope cases like payout progress are clearly declined — no over-promising.
Order/return/gift logistics and shipping policy; when order or product is missing, asks a single clarification and resumes seamlessly with the returned params.
WAF risk check runs first with top priority — on a hit it intercepts and skips downstream intent detection, keeping the platform compliant and safe.
The full customer-service journey for e-commerce
Product, promo, authenticity and usage consulting — shorten the decision path and lift conversion.
Order logistics, fulfillment guarantees and exception handling; proactively clarifies missing params to cut drop-off.
Returns, refunds and after-sales policy questions — clear guidance and handoff for each request.
Intercepts sensitive/non-compliant content up front, detects emotion and complaint signals, holds the compliance line.
Understands the shopper, finds the facts, and won't over-promise — so you can trust it with conversion
7 L1 / 16 L2
Intent only outputs stable classes and confidence — no downstream retrieval, clarification or tool calls in the prompt; low confidence auto-falls back, boundaries stay clean.
Capability registry + routing policy
Picks a scenario agent by L1/L2 capability mapping and enters its SubGraph; risk has top priority — on a hit it intercepts before intent detection.
On-demand, fact-driven
Agents orchestrate product, order and logistics MCP tools plus vector search on demand; replies pass an over-promise QA filter, and missing params trigger a single clarification.
From question to reliable answer, in four steps
WAF and product/order slot extraction run in parallel up front; a risk hit stops here.
Classifies L1/L2 intent and emotion in parallel with stable confidence.
Capability registry + routing policy pick the scenario agent and enter its SubGraph.
Tools/vector/MCP fetch data; replies ship after an over-promise QA pass.
Integrations
Connect once — platforms, channels, logistics and data, so replies use real business facts
Covers leading e-commerce platforms, messaging channels, payments and data tools — connected to fit your stack
Pre-sales (product/promo/guarantee), fulfillment (order logistics/delivery) and risk interception for e-commerce, handled by 5 scenario expert agents.
It uses LangGraph multi-agent orchestration: intent only gives stable classes and confidence, while scenario agents execute the business — avoiding the overreach and over-promising of rule-stacking.
It connects to product, order and logistics APIs via an MCP tool chain, fetching data on demand; missing params are collected through a single clarification card.
Book a demo with your requirements and we'll run a tailored demo against your products and scenarios.
Selection, rollout and growth playbooks · updated regularly
Compares multi-agent orchestration with traditional rule-based support across intent boundaries, overreach risk and over-promising.
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Walks the full path from pre-sales to fulfillment, explaining why intent only classifies and agents execute.
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On-demand, fact-driven replies with single-turn clarification — cutting drop-off and manual handovers.
Read more (coming soon)A tailored demo against your own product and order data.
Book a demo