AI is at the core of ATAMYA – not just an added function. It’s been part of the platform from the very beginning—and ensures that your processes run automatically.
Shift your time-to-market from weeks to days. Say goodbye to manual product data work. Autonomous content enrichment, real-time translation, zero manual handoffs – are all part of product data processes that run automatically. The potential impact of AI-fueled PIM in action?
AI modules orchestrate data enrichment, import and syndication across your entire product catalogue — fully automated, end to end. Each module can run independently or as part of a multi-agent workflow. The foundation: BPMN-native orchestration, an MCP server for agentic access, and the freedom to integrate any public or private LLM. Built to scale.
Data Onboarding with AI
Ingest supplier PDFs, Excel sheets and unstructured data feeds directly into structured attributes. The AI agent handles:
Use AI to manage confidence scoring and set up “human-in-the-loop” steps to review edge cases.
Generate, contextualise and enrich product content at scale. Create content that is industry specific or even relies on your own LLM training data at scale. Leverage AI to deliver:
All aligned to your brand voice via prompt templates and custom glossaries.
Accelerate your internationalization strategy with sophisticated AI translation tools. Translate product data into 50+ languages and and ensure consistent word use by building custom glossaries. With AI you can:
With the Integrated DeepL translation you can translate into any language with a click. Combine it with your own LLMs and ensure consistent brand language across every market and channel.
DQM runs continuously and fully automated – scanning, checking, scoring, and blocking. AI can identify errors and marketplace compliance gaps before they reach your channels. Use AI to deliver content enrichment suggestions automatically. Set up processes to flag problem areas during the approval process.
Combined with ATAMYA’s BPMN workflows — fully automated or with “human-in-the-loop” checks — quality gates ensure only compliant, complete product data reaches your channels.
“AI only creates real value when it is wired into the daily work of the marketing, product and commerce teams — not when it runs as a side project. Most organisations have conducted AI pilots. Few have made AI work at scale in product data. The rarely lies in the model, but in the architecture. When AI lives outside your PIM, teams work on copies of data that are disconnected from the workflows where decisions happen. The result: AI as a productivity tool for individuals, but not as infrastructure for the organization.
At ATAMYA, AI is embedded within the product data lifecycle, not layered on top of it. Every enrichment step, every quality check, every translation is a native process — triggered automatically, governed by rules, and auditable end to end.”
– Eric Dreyer, Chief Product Owner, ATAMYA
Data Sovereignty.
Your product data where you want it. Product data stays within your organization when attaching your own Enterprise LLM. When using public LLMs, you decide what information going to be sent to the models.
Freely Switch LLM Models.
Change your LLM at any time. Start with OpenAI or move to a private on-premise model — your workflows stay intact.
Private Enterprise LLMs
Integrate your own Enterprise LLM and leverage your domain-trained knowledge in ATAMYA workflows.
Can I really bring my own LLM?
Yes. ATAMYA supports any OpenAI-compatible API endpoint — Claude (Anthropic), GPT-4o (OpenAI), models via AWS Bedrock, Google Gemini, Azure OpenAI and private self-hosted models. The model can be switched at any time in Admin settings.
What is ATAMYA MCP Server?
ATAMYA implements the Model Context Protocol (MCP) as a server. This means external AI tools such as Claude Desktop, Cursor or custom agents can directly access your PIM data — read products, write attributes, trigger workflows — without custom integration, using only the standardized MCP protocol.
How does the Smart PDF import with AI work?
The Smart Import Agent analyzes uploaded PDFs, Excel sheets or structured supplier data. It recognizes attributes, units and categories, and then maps these to your ATAMYA data model and automatically populates the fields in the product structure. Uncertain mappings are flagged for manual review. The process can reduce manual data entry by 80–90% on average.
Does my product data leave the company when using LLMs?
No. ATAMYA sends only anonymized prompts to the LLM endpoint — no product master data, no pricing, no customer data. With private on-premise models, data never leaves your network at all. All AI actions are logged in the audit trail.
How fast is onboarding with AI support?
With ATAMYA’s Smart Import and AI-assisted data model setup, average onboarding time is 6 weeks — compared to 6–12 months with classical enterprise PIM implementations. AI handles initial data mapping, category structure and the first enrichment workflows.
Ready for AI-fueled PIM?
Send us a request to learn about how our automation works: Smart Import, Workflows, MCP Server, Own LLM integration, and more…
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