E-commerce operations AI

The AI Workforce for E-Commerce Operations

Human expertise and AI computation merging into structured intelligence

A team of eight domain agents — accounting, supply chain, replenishment, marketing research, market intel, forecasting, FP&A, and customer success — that share workspace memory, hand work to each other, and run on compliance-grade e-commerce data. Not another dashboard. An AI workforce.

Built on compliance-grade data — FIFO COGS, real landed cost, Amazon numbers that tie out
Agents share workspace memory and hand work to each other — not a chat interface, a workforce
You stay in control: every agent update is reviewed, approved, and versioned before it ships

All eight domain agents can collaborate and run analyses in parallel, while approvals and versioning keep decisions controlled.

The data layer is compliance-grade inventory, COGS, and Amazon operations — the same level of rigor teams trust for real P&L work. Trusted by sellers and aggregators since 2023. NeonaSphera is the AI workforce on top of it.

See Example Outputs

What Generic AI Lacks

Most AI tools are stateless, disconnected, and domain-unaware. Here's what that means in practice.

No access to your operational systems

Landed costs, supplier terms, inventory levels, sales velocity — none of it is visible to a general-purpose model. Without your real data, any recommendation is speculation.

No structured execution framework

Chat interfaces produce text. They don't enforce domain rules, validate outputs against constraints, or execute multi-step workflows with tool calls and guardrails.

No persistent memory of decisions

Every conversation starts from zero. Past decisions, learned preferences, and accumulated context are lost — so the same mistakes get repeated.

NeonaSphera agents operate on compliance-grade e-commerce data — FIFO COGS at batch level, real landed cost, retroactive-edit integrity — not raw API feeds or approximations. Prax helps you encode the expertise on top.

What Your Agents Deliver

Concrete outputs you can act on — not generic summaries. Prax helps shape the skills behind each one.

Daily Inventory Risk Brief

SKUs at risk of stockout, reorder timing, and supplier lead-time alerts — before you lose the Buy Box.

COGS & Landed Cost Check

Anomalies in cost-of-goods calculations, landed cost mismatches, and margin drift flagged automatically.

PPC Opportunities Report

Wasteful ad spend, winning keywords, and ACOS context — with citations from your actual campaign data.

Cash & Buy Plan

How much cash is tied up in inventory, what to reorder now, and what to pause — based on velocity and lead times.

Supplier Performance Score

On-time rates, defect trends, and lead-time reliability scored per supplier — so you can negotiate from data.

Weekly P&L Snapshot

Revenue, ad spend, COGS, and net margin rolled up automatically from QBO/Xero + Amazon — no spreadsheet gymnastics.

How Agents Learn Your Business

Your processes, decision rules, and SOPs get encoded into structured skills. Prax guides each step — so agents follow your frameworks, not generic internet answers.

Step 1

Capture SOPs

Capture your existing SOPs and decision frameworks in plain language. Prax asks the right questions and turns your expertise into a repeatable foundation.

SOPs · Rules · Decision Frameworks

Step 2

Structure Skills & Domain Packs

Package your know-how into structured skills, reusable domain packs, and clear output templates. Agents follow consistent procedures instead of improvising.

Structured Skills · Domain Packs · Consistent Outputs

Step 3

Review, Version, Improve Safely

Conversation Insights propose upgrades to skills and outputs. Prax flags what changed and why, then your team approves before shipping.

Versioned · Tested · You Approve

Once configured, agents collaborate across roles and can run analyses in parallel, then bring back a unified recommendation.

Operators move faster, team leads get consistency and governance, and admins get a scalable training process with versioned, approval-based updates that reduce regression risk.

Meet Your AI Agents

Eight domain specialists for e-commerce operations. Each connects to the same operational data and shares workspace memory — so when one agent surfaces a risk, the others can act on it together.

Dorian — Replenishment

Available

Prevent stockouts and stage POs with real lead-time and velocity data.

Inputs: SP-API orders, unified inventory, supplier lead times

"SKU B07X9K — 12 days of stock left at current velocity. Reorder 200 units by Friday to avoid a gap."

Mark — Marketing Research

Available

Find wasted ad spend and winning keywords from your actual campaign data.

Inputs: Amazon Ads, Keepa, SP-API catalog & BSR data

"Campaign 'Summer Launch' has 3 keywords above 45% ACOS with zero conversions. Pausing saves $320/week."

Marta — Accounting

Available

Catch COGS errors and margin drift before they hit your P&L.

Inputs: QBO/Xero, batch-level COGS, SP-API settlements

"Landed cost for SKU A01 jumped 18% vs last shipment. Check supplier invoice — duty rate may have changed."

Nina — Supply Chain

Available

Spot supplier risk and optimize your buy plan with real data.

Inputs: Supplier records, SP-API velocity, shipment history

"Supplier Zhongshan has missed 3 of last 5 delivery windows. Consider backup sourcing for top 10 SKUs."

April — Market Intel

Available

Track share, competitive moves, and listing health with data-backed context.

Inputs: Brand Analytics, BSR, catalog, competitor ASINs

"Your organic share for the kitchen niche slipped 1.2% w/w — two new entrants now price 8% under you on top ASINs."

Kio — Forecasting

Available

Model demand, seasonality, and stock coverage with forward-looking signals.

Inputs: Velocity history, promos, inbound POs, lead times

"Q4 run-rate implies a 15% sell-through gap vs on-hand in week 6 — step up PO for SKU C by 400 units or risk stockout."

Sanjay — FP&A

Available

Consolidate brands, roll up margins, and explain P&L movement with drivers.

Inputs: Multi-brand P&L, ad spend, COGS, accruals

"Portfolio margin down 1.1 pts — 70% from Brand B ad efficiency; model a 10% TACoS cut scenario."

Neon — Customer Success

Available

Prioritize cases, track SLA risk, and brief the team on buyer-side issues.

Inputs: Case feeds, order defects, return reasons

"3 A-to-z claims over SLA for Brand A — top ticket is ASIN M: respond with invoice proof template #4."

Marta, Nina, April, Kio, Dorian, Mark, Sanjay, and Neon share workspace memory — when one surfaces a risk, the others pick it up. That handoff is what separates a workforce from a chatbot.

With Prax, you can add custom skills and new domains on top of the core eight as your business grows.

Prax — your training assistant
Agent Academy

Agent Academy — How Your Workspace Gets Smarter Over Time

Agent Academy turns training into an operational process: capture SOPs, structure skills and domain packs, then review and version updates safely. As agents work, Prax proposes improvements based on what they've seen — and your team approves before anything ships.

Prax lives inside NeonaSphera and guides each step so your agents can collaborate consistently. Operators execute faster, team leads get governance, and admins get a scalable training process.

Operators

Faster execution with repeatable workflows and ready outputs.

Team Leads

Consistency, approvals, and governance across agent decisions.

Admins

A scalable training process with versioned improvements.

Skill Builder Setup Guide Change Reviewer Creator Plans & Above
Learn More About Agent Academy

Security & Infrastructure

Enterprise-ready controls presented clearly for business teams.

Customer data isolation with no shared training on customer data.
BYOS and BYOK options for data and provider control.
Role-based permissions, approval workflows, and auditability.
Production-grade AWS-hosted architecture with enterprise deployment options.
Learn more

Your Expertise. Your Data. Your Rules.

We don't train shared models on your data. You control where data is stored and which providers process requests. Your expertise stays yours.

Train on What You Know

Prax helps you encode your hard-won expertise into structured skills — pricing logic, reorder rules, supplier criteria. Your agents apply your frameworks, not generic internet answers.

Granular Permissions

Each agent accesses only the data it needs. Finance sees costs; Marketing sees campaigns. You set boundaries per agent, per data source.

Export Everything

Domain packs, conversation logs, and agent configurations — all exportable. If you leave, your IP leaves with you. No lock-in.

Your Data, Your Infrastructure

We don't train shared models on your data. No data pooling. No fine-tuning that benefits competitors. You control where data is stored and which providers process requests.

Live

BYOS

Bring Your Own Supabase — your agent memory and project data lives in your own database.

Live

BYOK

Bring Your Own Keys — use your own LLM API keys so requests go through your own accounts.

Take your data away, and the agents no longer know what you know. That's the point — your expertise is the moat.

No Shared Training

Your data is never used to train models for anyone else.

Full Portability

Export domain packs, logs, and configs anytime.

Per-Agent Permissions

Marta sees accounting; Mark sees marketing.

BYOS Storage

Optionally host agent data in your own Supabase instance.

Why NeonaSphera Is Different

Horizontal agent platforms have orchestration but not the data. E-commerce data tools have the data but not the agents. NeonaSphera has both — and four mechanisms, guided by Prax, that make the combination reliable enough for real business decisions.

Structured Skills

Prevents: plausible-but-wrong procedures

Skills are step-based with required inputs and output templates. Agents follow structured procedures instead of improvising. Prax helps you build these from your existing SOPs.

You see: consistent outputs, fewer hallucinations

Tool-Grounded Answers

Prevents: guessing numbers

Agents must call MCP tools for live data before answering. No making up inventory counts or cost figures — every number comes from a connected source.

You see: citations + last sync time on every answer

Versioned Improvements

Prevents: silent regressions

Every change to a skill creates a diff and evaluation. Prax surfaces what changed and why — you review and approve before anything ships.

You see: change history, rollback capability

Expert Calibration

Prevents: generic one-size-fits-all advice

Domain experts review and tune outputs. Prax helps calibrate agents to your specific context — not trained on average-case internet data.

You see: answers tuned to your business, not generic playbooks

Open Data Architecture

Layer 1: e-commerce data — inventory, COGS, accounting, and Amazon operations — flows through a single hub. Layer 2 exposes the same data to your own AI stack via MCP. NeonaSphera is Layer 3: the agent workforce that closes the loop.

That hub is the data layer; NeonaSphera is the intelligence layer. Use our pre-built connections or add your own.

Pre-built Connections

Pre-built connections pull your real Amazon data, inventory, COGS, and accounting, all available to agents via MCP. Prax walks you through setup.

Open MCP Standard

Any tool with an API can become an MCP server. You're not locked into our library — connect anything your business needs.

Granular Permissions

Each agent accesses only the data it needs. Marta sees costs; Mark sees campaigns. Secure by design.

Always in Sync

Scheduled refreshes, intelligent triggers, and automated workflows keep your agents working with the latest data around the clock.

NeonPanel

It processes hundreds of Amazon reports every day — encoding business logic, calculating real landed costs, and surfacing meaningful analytics across inventory, advertising, and accounting.

This is the data moat. FIFO COGS at batch level, real landed cost, retroactive-edit integrity, AWD→FBA stitching. No horizontal agent platform can replicate it in under 18 months — which is why NeonaSphera agents produce answers that are actually usable for accounting and planning decisions.

Now, all of that data is available to NeonaSphera's agents via an MCP Tool — giving them access to your real Amazon numbers, not estimates.

Open architecture means you can connect any additional tool that has an API as an MCP server — by you or by us.

Choose Your Plan

Creator plans and above include Prax — the training assistant that turns your expertise into working agents.

Billed Monthly
Billed Yearly

User

For operators who want plug-and-play e-commerce agents

Access pre-built AI agents for your e-commerce business.

$39
per month
Book a demo

Features

  • Pre-built e-commerce agents (eight domain specialists)
  • Replenishment, marketing, accounting, supply, intel, forecast, FP&A, CS
  • Amazon, QuickBooks & Shopify integration
  • Daily structured insights & reports
  • Natural language conversations
  • Community support

Creator

For teams encoding SOPs into custom agents

Build custom domain packs and tailored agents for your business.

$79
per month

Features

  • Everything in User plan
  • Create 2 custom AI agents
  • Domain pack creation & calibration
  • Multiple data source connections
  • Advanced automation rules
  • Scheduled reports & analytics
  • Priority email support

Admin

For companies managing multiple agents, roles, and audit

Unlimited agents, team collaboration & marketplace access.

$299
per month
Book a demo

Features

  • Everything in Creator plan
  • Unlimited custom AI agents
  • Team collaboration & admin roles
  • Agent marketplace & templates
  • Advanced permissions & audit logs
  • Custom webhooks & API access
  • Priority phone & Slack support

Enterprise

For SSO, isolated infrastructure, SLAs, and custom integrations

White-label intelligence solutions for large teams & organizations.

Runs on production-grade AWS infrastructure with enterprise deployment options and approval-based change controls.

Custom
Contact Sales
Illustrative pricing

5 people — $36/person/mo

25 people — $29/person/mo

50 people — $24/person/mo

Larger teams = lower per-person cost

Features

  • Everything in Admin plan
  • Dedicated account management
  • Custom infrastructure & SSO
  • White-label deployment options
  • SLA & guaranteed uptime
  • Custom integration development
  • 24/7 dedicated support

E-Commerce: Our Proving Ground

Case Studies

E-commerce is the most operationally complex vertical — inventory, ads, finances, supply chain, competition. With Prax guiding the training, structured intelligence works here and everywhere.

AI-powered inventory management for Amazon sellers
Illustrative Example E-commerce

Structured Intelligence for Inventory Management

How structured domain intelligence automated inventory tracking, reorder alerts, and supplier management across 500+ SKUs — reducing stockouts by 85%.

Sarah Chen
Sarah Chen December 15, 2024
AI-powered marketing optimization
Illustrative Example Marketing

Calibrated Marketing Intelligence in Action

Expert-calibrated PPC optimization, competitor analysis, and promotional strategy powered by domain packs — resulting in 200% increase in sales velocity.

Mike Rodriguez
Mike Rodriguez January 8, 2025
AI personal assistant
Illustrative Example Productivity

Personal Assistant with Intelligent Memory

A structured productivity system managing calendar, emails, tasks, and reminders with persistent memory — saving 15+ hours per week.

Jennifer Park
Jennifer Park February 2, 2025

Frequently Asked Questions

Common questions from buyers evaluating NeonaSphera for their e-commerce operations.

Still have questions?

Get in Touch