Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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8 solutions
databricks-agent-mesh-for-stripe-dispute-response-automation
Small e-commerce businesses lose thousands in chargeback disputes due to slow, manual evidence gathering and missed deadlines, leading to lost revenue and increased fees.Automate chargeback evidence collection, rebuttal generation, and human review routing for SMB e-commerce merchants.
vllm-multi-agent-handoff-for-e-commerce-support-routing
E-commerce support teams hosting cost-effective vLLM models find it hard to coordinate multiple specialist agents; misrouted questions cause customer frustration and agent loops.Route customer queries across product, order, and returns agents hosted on vLLM, with compressed context handoff so no conversation gets lost.
langchain-security-guardrails-for-smb-e-commerce-support-bots
SMB e-commerce support bots built with LangChain often lack enterprise-grade safety controls. A single prompt injection or exposure of customer PII can lead to compliance fines and reputation damage, but baked-in safety is hard to retrofit.Add runtime prompt injection defense, PII redaction, and content safety filters to LangChain-powered chat agents without changing a single agent definition.
vllm-agent-mesh-for-e-commerce-order-management
Small online retailers manually handle repetitive customer queries about order status, shipping updates, and return policies. Delegating these tasks to a single LLM agent leads to context‑lost handoffs and inconsistent responses.A multi-agent system that handles order inquiries, shipment tracking, and returns for SMB e‑commerce stores, powered by a vLLM‑hosted model and orchestrated with REAA agent-mesh.
openai-multi-agent-handoff-for-e-commerce-order-handling
Small e-commerce teams are overwhelmed by repetitive order support requests and risk double-refunding customers when multiple agents manually process the same issue.Handle order status, modifications, and cancellations via a Mastra-orchestrated multi-agent system with OpenAI, preventing duplicate refunds and runaway costs.
anthropic-agent-mesh-for-e-commerce-fraud-detection
Small e‑commerce companies lose revenue to fraud but lack the data‑science teams to build multi‑signal detection. A single LLM call misses patterns that require analyzing orders, payments, and customer behavior together.A mesh of specialized Anthropic‑powered agents that collaborate to detect and block e‑commerce fraud in real time for small businesses.
openai-multi-agent-handoff-for-e-commerce-order-tracking
Small e‑commerce owners lose hours per day manually checking WMS, carrier portals, and return logs for every customer call. Agents frequently restart the conversation from scratch, frustrating buyers and delaying resolutions.Automate order‑status, shipping, and returns inquiries by routing customers among specialized AI agents without losing conversation context.
azure-ai-multi-agent-handoff-for-e-commerce-customer-support
E‑commerce SMBs field support queries that span order tracking, returns, product recommendations, and tech support. A single monolithic chatbot can't handle the breadth, and human agents are overwhelmed during sales spikes.A routing mesh that classifies customer intents and hands off conversations between specialist AI agents — all hosted on Azure AI, so SMB e‑commerce teams can scale support without hiring.