For E-commerce
Pokee deploys RL-trained AI agents on your terms — on-prem, on-device, or inside your VPC — so merchandising, marketing, and operations teams can move at the speed of their storefront without leaving the perimeter.
Token context window — your full catalog and customer history fit in memory
Private deployment — model weights and store data never leave your perimeter
Pre-wired tool integrations — Shopify, Amazon, Klaviyo, Google Analytics, Ahrefs and more
Three capabilities, one engine
Pokee gives merchandising, marketing, and operations teams the same primitives — research, reason, and act — wired into the systems where commerce actually happens.
Surface answers from your storefront analytics, ad platforms, marketplace listings, and competitor SERPs — grounded in citations your merchandising team can actually act on.
Agents trained with reinforcement learning — not stitched-together prompts — to plan across promo cycles, navigate Shopify admin, and fall back gracefully when an API blinks.
Deterministic tool use across the e-commerce stack — Shopify, Amazon, Klaviyo, Google Analytics, Ahrefs, Zendesk — with full audit trails for every change an agent ships.
Use cases
Four places Pokee agents are already replacing brittle scripts and outsourced labor inside e-commerce ops, marketing, and merchandising teams.
Auto-generated weekly and end-of-promo reports — no analyst standing by required.
Source winners across Amazon's catalog before your competitors do.
Inventory, pricing, and theme tweaks — handled at the same speed your store moves.
Continuous on-page SEO work, scored against the SERP your shoppers actually see.
Time savings
Pokee delivers finished work — not drafts. Here's how much time e-commerce teams save on the tasks they used to dread.
Sales, ad spend, channel attribution, and SKU-level lift — drafted and on Slack before the morning standup.
Score hundreds of listings on review quality, sales velocity, and margin. Shortlist plus sourcing notes ready for the buyer.
Stock, pricing, and theme banners synced between Shopify and Amazon Seller Central — without a single spreadsheet.
Crawl thousands of product pages, score against the SERP, and stage rewrites for the top underperformers.
Numbers reflect typical task durations observed in production deployments. Actual speedup depends on data scale and approval gates.
Plug into your stack
The agent ships with deterministic tool integrations across the e-commerce stack — no glue code, no per-tool auth gymnastics, no LLM-driven HTTP fishing. Every call is logged, replayable, and gated behind your own credentials.
Read and write across the systems where your store lives.
Compose, segment, and send to the right list at the right time.
Plan, draft, and schedule across every channel your shoppers spend time on.
See the same funnel and the same SERP your team does.
Resolve, route, and escalate tickets without context-switching.
Land outputs where your team already works.
Need a tool not on the list? Pokee adds new integrations on a per-deployment basis, or you can ship your own behind the same audit and credential boundary.
Built for the stack you defend
Pokee was designed from day zero to live behind your firewall. We don't ship a SaaS that pretends to be enterprise — we ship infrastructure your security team can actually own.
Run inside your VPC, on-prem, or directly on workstation silicon. Customer PII, payment data, and proprietary catalogs never leave your perimeter.
Every agent action is logged, traceable, and replayable. Built-in usage monitoring, output review, and policy guardrails that your security team can own.
Fine-tune on your catalog, your tickets, your brand voice. RL-based adaptation means policy and copy changes ship without retraining from scratch.
Pokee engineers embed with your team for the first deployment. We ship to production — not slides — inside the first quarter.
Get started
Connect with our team to scope an agent that fits your storefront, your data, and the speed your operators actually need.
Request a demo