SENTINEL C.E.O. · SENTINEL AI

Ask anything. Simulate everything. Automate on your terms.

Conversational AI grounded in your actual data. Run what-if scenarios. Orchestrate a growing team of AI agents. Choose exactly how much happens autonomously.

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Faster pricing decisions
< 2s
Average response time
3 modes
Autonomy control levels
21
Modules queried simultaneously

What's inside

Everything you need.
Nothing you don't.

Catalog-Grounded Answers

Every response is grounded in your actual catalog data, sales history, and operational records. Ask 'why did SKU-4471 lose buy box?' and get a specific, data-backed answer.

Natural Language Operations

No dashboards required. Ask 'which SKUs are at stockout risk this week?' or 'what's my net margin on channel X after ads?' and get instant, accurate answers.

Predictive Scenario Simulation

Ask 'what if' before you commit. Model the impact of a price change, a late PO, a channel expansion, or a promotional event against your real data — before making the decision.

Agentic Orchestration

SENTINEL runs a team of specialized AI agents — Pricing, Inventory, Reconciliation, MAP — that communicate with each other. New agents are provisioned as your operation grows.

Three Autonomy Modes

Manual, Human-in-the-Loop, or Fully Autonomous — configurable per workflow. When SENTINEL acts autonomously, you get an immediate notification for every action taken.

Proactive Intelligence

SENTINEL doesn't wait to be asked. It surfaces anomalies, opportunities, and risks before you see them — in plain English, with context and recommended actions.

Decision Memory

SENTINEL remembers every decision, hypothesis, and outcome. When you ask why a strategy was chosen, it can trace the reasoning back through your full operational history.

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Autonomy Control

You control how much
SENTINEL does on its own.

Three operating modes, configurable per workflow. Run pricing decisions in full autonomy, keep inventory buys human-approved, and review MAP enforcement manually — all at once.

Human Approval mode

SENTINEL queues it. You approve it.

SENTINEL prepares every action and sends it to you for approval before execution. You review, approve, reject, or modify with all supporting data pre-loaded. Nothing executes until you sign off.

Pricing changes within configured bounds

Reorder POs above a dollar threshold

MAP violation escalations to legal

Notifications & alerts

Real-time notification every time SENTINEL queues an action for your approval — in-app, email, or Slack. Your call, every time.

Example approval request

Reprice SKU-4471 on Amazon?

$34.99 → $32.49 · Est. Buy Box: 78% → 94% · Margin: $8.21 → $6.71

✓ Approve✗ RejectEdit

Autonomy mode is set per workflow, not per account. Run pricing autonomously, keep purchasing human-approved, and review MAP enforcement manually — simultaneously.

Agentic Architecture

A team of AI specialists that grows with your operation.

SENTINEL doesn't run on one AI. It runs an internal team of specialized agents — each responsible for a distinct domain, each aware of what the others know. The Pricing Agent knows the Inventory Agent just flagged a stockout risk. The MAP Agent knows the Pricing Agent just changed a price.

As your operation expands — new channels, new suppliers, new compliance workflows — SENTINEL provisions new specialized agents to handle the new demands. Your agent team scales with your business. Your headcount doesn't.

How agentic orchestration works in SENTINEL

Active agents — always running

Pricing Agent

Monitors Buy Box, velocity, and competitor pricing. Proposes or executes repricing within your bounds.

Inventory Agent

Tracks stock levels, lead times, and reorder points across every channel and warehouse.

Reconciliation Agent

Sweeps Amazon fee ledgers daily. Identifies and files every recoverable reimbursement.

MAP Agent

Monitors channel pricing 24/7. Detects violations, escalates to the right workflow, logs evidence.

As your operation grows

1

You launch with 4 core agents

Pricing, Inventory, Reconciliation, MAP — active from day one.

2

Operations grow, new workflows emerge

New channel. New supplier. New compliance requirement. New product line.

3

SENTINEL spawns a new specialist agent

Supplier Communication Agent. Returns Agent. Channel Expansion Agent. Configured to your workflow.

4

All agents share context

The new agent immediately has access to your full catalog, history, and operational principles. No onboarding.

Predictive Simulation

Test the decision
before you make it.

Most platforms tell you what happened. SENTINEL lets you model what willhappen — before you commit. Ask any “what if” question in plain English and get a modeled outcome based on your actual catalog, velocity history, channel performance, and cost structure.

Pricing changes. Inventory bets. Channel expansions. Promotional scenarios. Run the simulation first. Make the decision with data behind it.

Common questions about predictive testing
Before
you commit

SENTINEL runs the simulation against your historical data and returns a modeled outcome — velocity, margin, cash impact, risk score — in seconds.

"What happens to margin if I drop price 8% on Amazon?"

SENTINEL models velocity lift, margin compression, BSR impact, and Buy Box probability change — before you make the move.

"What's my stockout risk if my supplier is 3 weeks late?"

Projects channel-by-channel inventory runout dates, estimated lost revenue, and the optimal reallocation across FBA, WFS, and 3PL.

"If I add Walmart DSV for these 12 SKUs, what should I expect?"

Estimates 90-day velocity, projected margin by channel, and cannibalization risk against your existing Amazon listings.

"What happens to cash if I increase safety stock by 20% across FBA?"

Models the capital tied up, the stockout risk reduction by SKU class, and the net impact on your 90-day cash position.

Simulations are grounded in your data — not generic industry benchmarks. SENTINEL uses your actual velocity history, channel margins, fee structure, and supplier lead times to model outcomes specific to your catalog and your operation.

Common question

“If SENTINEL doesn't retain my data,
how does it get smarter?”

There are two different things people mean by “learning.” The underlying language model doesn't change — it has fixed weights. But SENTINEL gets better at understanding your specific business through four context layers that grow with your account and belong only to you.

The analogy: The LLM is the engine. Your business context is the fuel. The engine doesn't change shape — it just runs on increasingly rich fuel that is yours and only yours. Someone else's fuel never touches your engine.

Your live catalog & history

Every query SENTINEL AI answers is informed by your current catalog, order history, channel performance, and P&L data — injected as context, not stored inside the model. Fresh every time.

Knowledge Brain

Documents, SOPs, contracts, and product specs you upload are semantically indexed into your account's private vector database. SENTINEL retrieves the exact right context for each question.

Operational principles

Every decision you make — overrides, approvals, pricing choices — builds a set of account-specific rules. SENTINEL uses these to shape recommendations to match how you actually operate.

Decision memory

When you accept, reject, or modify a recommendation, SENTINEL logs it. Over time, the system understands your preferences and adjusts future suggestions accordingly.

Read the full answer in our FAQ