Sales Layer Launches Autonomous AI Suite and MCP Server for Agentic PIM
Sales Layer has rolled out its AI Suite and MCP Server-autonomous, expert-level AI built to execute complex product data workflows end-to-end. For leaders managing large catalogs, multiple regions, and dozens of channels, this is about doing more work with the same team, with higher accuracy and fewer bottlenecks.
As Sales Layer's CEO, Álvaro Verdoy, puts it: "Most companies have tested generative AI to support copywriting or translations. The real leap comes when AI stops acting as a simple assistant and starts operating as an autonomous expert."
What this means for managers
- Reduce manual grunt work across product content, translations, enrichment, and compliance tasks.
- Standardize execution with business logic and company-specific rules, so outputs are consistent at scale.
- Move faster across channels without scaling headcount at the same rate.
- Tighten governance: approvals, controlled environments, and traceable updates.
Verdoy adds: "Multichannel growth and rising regulatory pressure have created an amount of work that is increasingly difficult for teams to manage on their own. Our agents apply the rules, terminology, and structure of each company with specialist precision."
How the AI Agents work
These agents execute complex, multi-step workflows autonomously. They don't stop at a single task; they chain up to ten actions in one run, using each step's output as the next step's input.
- Translate and localize content at scale.
- Generate search-ready and answer-engine-ready descriptions.
- Apply classification codes for e-commerce and procurement compatibility (e.g., GS1 GPC).
- Validate logic with Smart Business Rules.
- Improve image quality and formatting.
Example chain: generate descriptions → translate → format content → assign categories → apply rules → route for approval. What used to be tedious handoffs turns into one automated pass.
MCP Server: AI-ready connectivity and control
Alongside the AI Suite, the MCP Server connects product data to existing platforms and automation tools without pushing sensitive data outside controlled environments. Think of it as the secure bridge between your PIM, ERP, ecommerce stack, and your AI workflows.
- Run catalog audits and quality scoring.
- Execute bulk updates and generate product variants.
- Create multi-step approval workflows.
- Synchronize with ERPs and ecommerce platforms.
- Deploy AI-driven automations with guardrails.
Measured outcomes
Based on internal usage data from Sales Layer:
- Up to 70% less time spent on repetitive work.
- Catalog updates completed 3x faster.
- 80% improvement in work performance.
For managers, that translates into a cleaner pipeline: fewer manual corrections, quicker channel rollouts, and more time for positioning, channel strategy, and market expansion.
Where this fits in your operating model
- Resource leverage: Shift your team from repetitive edits to higher-value decisions.
- Quality at scale: Apply company rules and product logic consistently across every SKU and locale.
- Compliance-by-default: Bake approval workflows and standards into the flow instead of auditing after the fact.
- Stack alignment: Keep data in trusted systems while integrating with the tools your team already uses.
Questions to ask before piloting
- Which product workflows create the most delay or rework today?
- What rules, validations, and classifications must be enforced every time?
- Which channels and ERPs need real-time sync versus scheduled updates?
- Who approves changes, and what evidence is required for audit and compliance?
- What KPIs will define success (time to publish, error rates, localization cycle time, return-to-stock speed)?
Practical next steps
- Start with a constrained pilot: one family of products, two locales, and a clear approval path.
- Map a 6-10 step agent chain that mirrors your best human process-then tighten it with rules.
- Use MCP Server to connect your PIM, ERP, and ecommerce channels while keeping data in controlled environments.
- Measure publish time, error rates, and rework. Scale only when the metrics hold.
About Sales Layer
Sales Layer is a global PIM platform used by hundreds of manufacturers, distributors, and retailers to centralize, enrich, optimize, and distribute product information across all channels. With fast onboarding and plug-and-play integrations with leading ecommerce, marketplace, and procurement platforms, Sales Layer helps teams accelerate catalog operations, improve data quality, and expand internationally.
Further learning
If you're planning AI adoption across product operations and want your team prepared, explore role-based programs here: AI courses by job.
Contact
Contact: Pau Fos Gastaldo
pau.fos@saleslayer.com
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