Retail & Commerce Platforms
Customer data, inventory signals, store operations, order flows, loyalty systems, and AI-enabled merchandising workflows.
We partner with enterprises and high-growth companies to design and deliver data, integration, automation, and AI agent systems that power real-world decisions, automate daily work, and unlock measurable business value.
Critical business data is distributed across legacy infrastructure, SaaS platforms, partner systems, and internal tools. Teams rely on manual processes, inconsistent reporting, and isolated AI experiments — limiting speed, accuracy, and scalability.
We help organizations modernize the systems that run revenue, customer operations, supply chain planning, analytics, and decision-making.
Customer data, inventory signals, store operations, order flows, loyalty systems, and AI-enabled merchandising workflows.
Forecast demand, detect operational risk, automate planning workflows, and connect procurement, inventory, fulfillment, and reporting systems.
Scalable APIs, multi-tenant data architectures, analytics systems, partner onboarding, and AI-powered product capabilities.
Workflow automation, reporting infrastructure, internal tools, email and call workflows, and operational intelligence systems.
End-to-end architecture for AI products, RAG systems, automation platforms, and scalable data foundations from zero to production.
Illustrative, anonymized case studies showing the type of business problems One Data Stream is built to solve.
A growing SaaS company needed to onboard new partners faster while reducing mapping errors across files, APIs, and reporting workflows. We designed a reusable ingestion and validation layer with schema checks, reconciliation rules, exception alerts, and operational dashboards.
A legacy platform stored valuable customer, sales, and marketing data in SQL tables, but teams depended on analysts for every question. We designed a localized LLM layer that translated natural-language questions into governed SQL queries, returned explainable answers, and enabled marketing and sales teams to self-serve insights.
An operations team relied on manual email replies, call follow-ups, spreadsheet updates, and repetitive data processing. We designed an automation layer that summarized calls, drafted email responses, processed incoming data, routed exceptions, and answered routine operational questions with human review where needed.
Flexible models for leaders who need strategy, architecture, and execution without unnecessary complexity.
Best for teams that need clarity before investing in a larger data, integration, or AI initiative.
Best for building production-ready integrations, automation workflows, AI assistants, dashboards, or internal platforms.
Best for companies that need a long-term data and AI partner across multiple initiatives.
Teams need AI agents that can automate repetitive tasks, support daily operations, and help employees work faster. Talk to us to learn how AI agents can fit into your business.
Automate intake, routing, follow-ups, status updates, reporting, approvals, and repeatable operational tasks.
Connect agents to APIs, databases, SaaS platforms, files, and internal tools so they can take governed actions.
Help employees search knowledge, summarize work, draft responses, prepare reports, and complete routine tasks faster.
Agents can recommend, draft, and execute only when confidence, permissions, and review rules are met.
Combine trusted retrieval with workflow execution so agents answer from your data and trigger the next step.
Design guardrails, logs, permissions, escalation rules, and dashboards so AI agents stay controlled in production.
We design architectures combining data ingestion, batch and real-time processing, vector search, RAG, AI agent orchestration, tool calling, and private or cloud-based LLMs — tailored for performance, security, cost, and scale.
Tell us about your systems, challenges, or objectives. We’ll design and deliver the architecture required to move your business forward.