Discovery and Business Analysis
We map your merchandising, storefront, OMS, and fulfillment workflows, identify where AI agents remove manual effort, and define measurable outcomes across catalog, CX, operations, and marketplace teams.
Composable APIs, React and Flutter experiences, and peak-ready checkout flows across web and native apps.
Attribute governance, media enrichment, and launch readiness across channels and marketplaces.
Promise dates, split shipments, returns, and carrier exceptions with agent-assisted resolution.
Grounded recommendations, AI search, and loyalty journeys tuned to margin, stock, and policy.
Checkout orchestration, wallet flows, and guarded automation for high-risk account actions.
Seller onboarding, listing quality, and payout operations with human-in-the-loop where required.
We deploy decision-grade AI agents for retailers, D2C brands, and marketplaces on the ideyaLabs Agentic Layer™. Every agent follows the observe, decide, act, and confirm loop with enterprise guardrails, MCP-connected tools, and grounded retrieval across catalog, customer, and fulfillment data so teams automate repetitive commerce decisions without sacrificing brand control or auditability.
Agents that keep product data accurate across PIM, DAM, storefronts, and marketplaces. They detect attribute gaps, flag stale assortments, and orchestrate enrichment workflows so every channel launches with consistent titles, media, pricing hooks, and compliance metadata.
When you engage ideyaLabs, we follow a structured execution model from discovery through optimization, whether you are modernizing legacy commerce platforms or launching new agentic storefront, marketplace, and fulfillment workflows. This approach gives every stakeholder clear visibility into scope, delivery milestones, rollout readiness, and measurable outcomes across catalog, customer experience, and operations.
We map your merchandising, storefront, OMS, and fulfillment workflows, identify where AI agents remove manual effort, and define measurable outcomes across catalog, CX, operations, and marketplace teams.
We combine commerce delivery experience with production-grade AI on the ideyaLabs Agentic Layer™. From catalog launch through post-purchase service, each program is designed for reliability, traceability, and measurable growth impact.
We engineer software and AI agent workflows across headless storefronts, marketplaces, OMS, PIM, loyalty, and fulfillment with conversion and ops metrics in mind.
Every solution is designed on the ideyaLabs Agentic Layer™ with multi-LLM orchestration, MCP tool integration, RAG, knowledge graph, and layered guardrails.
Catalog, pricing, inventory, and customer context stay synchronized across web, mobile, POS, and marketplace channels from architecture through operations.
Agent decisions are grounded, source-aware, and logged so merchandising, CX, and operations teams can explain promotions, substitutions, and exceptions.
We connect storefronts, mobile apps, seller portals, and back-office consoles so shoppers and operators run on one coherent commerce workflow.
We integrate with commerce platforms, OMS, WMS, PIM, CRM, payment gateways, and data platforms so your stack behaves as one coordinated system.
Architectures target sub-2-second agent responses, high availability on Azure, and elastic scale for peak traffic, launches, and holiday windows.
Programs align to conversion, AOV, fulfillment SLA, catalog quality, and operational efficiency metrics your leadership teams already track.