Website • Agentic OS • Research • Careers • LinkedIn • contact@oodaris.ai

OODARIS AI is an agentic OS for retailers.

We move merchants, planners, and supply teams off spreadsheet-era MFP / MP&A suites and into a governed network of AI agents that:

• Sense demand across POS, e‑commerce, marketing, and external signals
• Optimize buys, pricing, and inventory across channels and regions
• Orchestrate decisions with explainable guardrails and human‑in‑the‑loop workflows

All of it runs on a Semantic & Canonical Data Fabric that keeps every agent in sync with your real systems.

We ship production systems with audited impact, not toy demos.

• +2–8pp gross margin improvement ranges across audited omnichannel pilots
• 60–75% fewer stockouts on priority SKUs in enterprise rollouts
• 50–200% annual ROI, with 4–8 month payback windows
• 62% fewer manual hours on planning workflows in validated pilots

See the full benchmarks, guarantees, and methodology on our website.

At the core is the OODARIS loop — Observe → Orient → Decide → Act → Reflect → Iterate → Serve — implemented as a governed, multi‑agent system grounded in BDI (Belief‑Desire‑Intention) architecture.

Key building blocks:

• Retail DNA
  Built by former merchants and planners. Agents ship with retail-native concepts, not generic LLM prompts.

• Semantic & Canonical Data Fabric
  Maps and matches data from POS, e‑com, ERP, marketing, logistics, and finance into a shared semantic blackboard.

• Agent Cohort & Orchestrator
  Specialized agents (demand, price, inventory, finance, procurement, etc.) collaborate over the blackboard. An orchestrator routes work, enforces guardrails, and narrates decisions.

• Governance & Explainability
  Coordinator, critic, and storyteller agents audit each other and emit human‑readable rationales for every action.

  Retail data → Semantic & Canonical Data Fabric → Agent Cohort → Humans-in-the-loop (POS, e‑com, ERP, CRM, etc.) (Demand, Price, Inventory, Finance) (Merchants, Planners, Ops)

We ship a roster of specialized agents that cooperate in real time across the retail lifecycle.

📝 Performance ranges and detailed playbooks for each agent are available at
https://oodaris.ai/en/agents

OODARIS is grounded in published research and real deployments.

• Foundations of Agentic AI for Retail
  A book introducing the BDI framework and OODARIS loop for autonomous retail systems.

• Research & publications
  Deep dives on:

  • BDI architecture in retail contexts
  • The OODARIS loop methodology
  • Multi‑agent coordination patterns
  • Demand sensing, inventory optimization, and agentic pricing

👉 Explore the research and links to papers: https://oodaris.ai/en/knowledge

This GitHub organization is where we expose the pieces of our platform that make sense to share publicly:

• Reference architectures & diagrams
  High‑level views of the Agentic OS: data fabric, agent cohort, and governance layer.

• SDKs & integration kits (as they are released)

  • Client libraries for integrating with the OODARIS Agentic OS
  • Example adapters for common retail systems (POS, ERP, e‑com, marketing)

• Labs & examples (as they are released)

  • Notebooks demonstrating agent behaviours in synthetic retail environments
  • Evaluation harnesses for margin, stockout, and working‑capital metrics

If you’re evaluating OODARIS for your retail stack today, reach out and we’ll connect you with a governed pilot environment rather than a toy demo.

We are a senior, calm team shipping production multi‑agent systems for enterprise retailers.

A few principles we hold:

• Golden workflow: Plan → Contracts → Code → Tests → Docs → Rollout. Every change follows this path.
• Typed & observable by default: Strongly‑typed inputs/outputs, structured logs, traces, and dashboards before we ship.
• No heroics: High trust, high ownership, realistic scope. We solve hard problems with focus, not chaos.

Interested in building the Agentic OS for retail with us?
Open roles: https://oodaris.ai/en/careers

Retailers

• Run a governed pilot on your own data
• Validate impact on margin, stockouts, and working capital
• Move from pilot to full rollout in weeks, not years

Partners & platforms

• Explore joint solutions and integrations
• Combine OODARIS agents with your data / SaaS platform
• Co‑develop new agent domains for retail

Researchers & educators

• Collaborate on agentic AI in retail
• Turn BDI + OODARIS frameworks into applied systems
• Bring real‑world case studies into your courses and programs

• 🌐 Website: https://oodaris.ai
• 🧠 Research & publications: https://oodaris.ai/en/knowledge
• 🧑‍💻 Careers: https://oodaris.ai/en/careers
• 💼 LinkedIn: https://www.linkedin.com/company/oodaris-ai/
• ✉️ Email: contact@oodaris.ai

Every day you wait, margin and working‑capital leaks keep compounding.
If you’re serious about autonomous retail, get in touch.