Industry solution
Retail & Commerce
Replace manual catalog work, order query handling, and vendor coordination with role-defined AI employees — deployed inside your infrastructure in 2 weeks.
Powered by OpenClaw + NVIDIA NemoClaw. Delivered by Agentex.
Best-fit buyer
Head of E-commerce, VP Operations, Catalog Manager, or Customer Experience lead under pressure to scale order volume without scaling headcount.
Where this fits
Best fit for D2C brands, marketplace sellers, retail chains, and commerce platforms where catalog quality, order query volume, and vendor coordination create daily operational drag.
Where the workflow breaks today
- Catalog teams manually enrich, verify, and upload SKUs — a task that scales with product count and slows every product launch.
- Order support queues fill with status queries that require API lookups across courier and order management systems — all done manually.
- Vendor onboarding is a WhatsApp coordination mess — document collection, validation, and follow-up happen without tracking or automation.
- Returns and exchange processing requires manual cross-checking between order systems, courier APIs, and CRM — time-consuming and error-prone.
What we can deploy first
- AI Catalog Employee — enriches SKU data, checks listing completeness against marketplace rules, uploads or updates listings, flags errors for human review. Your catalog team stops doing repetitive data work.
- AI Order Support Employee — handles order-status queries on WhatsApp and email, pulls live tracking from courier APIs, processes return and exchange requests, escalates stuck orders with context.
- AI Vendor Ops Employee — sends document and data collection requests to new vendors, tracks response completion, follows up on missing items, validates catalog submissions, routes completed profiles to onboarding team.
AI Employee Catalogue
Roles we deploy for Retail & Commerce
Each role is deployed end-to-end — integrated, policy-governed, and live in 2 weeks.
AI Employee
AI Catalog Employee
Reads new product intake sheets, enriches SKU data from brand/manufacturer sources, checks listing completeness against marketplace rules, uploads or updates listings, flags errors for human review, produces daily catalog status report.
Integrates with
Listing throughput 3–4× faster; handles catalog ops equivalent of 2 catalog executives
AI Employee
AI Order Support Employee
Handles order-status queries on WhatsApp and email, coordinates with courier APIs for live tracking updates, processes return and exchange requests, escalates stuck orders, updates CRM with resolution notes.
Integrates with
Handles 300–500 order-status interactions/day; reduces customer support headcount by 2–3 agents
AI Employee
AI Vendor Ops Employee
Sends document and data collection requests to new vendors, tracks response completion, follows up on missing items, validates catalog submissions against standards, flags mismatches, routes completed vendor profiles to onboarding team.
Integrates with
Reduces vendor onboarding cycle from 2 weeks to under 4 days
Business outcome
Why the buyer cares
Agentex is not selling abstract AI experimentation. We are selling a faster, more controlled way to remove repetitive manual work from real enterprise operations.
- Multiply catalog throughput without adding catalog operations headcount.
- Handle order query volume at peak season without scaling support staff.
- Cut vendor onboarding cycle time with automated document coordination.
- Free ops team to focus on commercial decisions rather than coordination and data entry.
Why Agentex
Why this works better than another pilot
- AI employees are role-defined — the catalog agent acts like a catalog ops executive, not a generic automation.
- We connect to the exact tools your team uses: Seller Central, Flipkart Hub, Shopify, courier APIs, and your ERP.
- We deploy inside your infrastructure — no SaaS dependency, no data on external servers.
- We manage and expand the workforce post-deployment — new roles, new integrations, on retainer.
Deployment discipline
How we keep rollout enterprise-safe
The first Sprint should land in a bounded workflow with a clear owner, clear escalation rules, and a deployment model that matches the organization’s operational constraints.
- All AI employee data runs on-prem inside your infrastructure. NemoClaw policy files govern access and egress.
- Courier and marketplace API calls are governed by allowlist in the NemoClaw policy file.
Sprint deliverables
What the buyer gets after 2 weeks
The Sprint is designed to produce a real deployment outcome, not a slide deck with vague recommendations. The buyer should leave with a live workflow, a clearer operating model, and enough signal to decide on the managed retainer.