eCom Force replaces the execution layer of your Amazon operations team. One system. Four operators. Built for brands doing $1M–$50M+ and the agencies that run them.
Limited to 50 brands in Q2 cohort · By application only
Most $5M Amazon brands run with 3–10 ops staff. eCom Force does the work of every one of them for a fraction of the cost.
Operational cost reduction: 50–80% vs. equivalent staffed team.
Each agent owns a domain. Each produces concrete work product. Every action is logged.
Forecasts demand. Generates POs. Prevents stockouts.
Predicts sales velocity per SKU, calculates days-of-cover, and drafts purchase orders before you need them. Audits all 7 Amazon fee categories to cut storage waste.
Detected 14-day stockout risk on SKU-1847 → drafted PO for 500 units based on actual supplier lead time of 21 days → prevented $38K in lost sales.
Protects top-line revenue. Cuts storage fees and overbuy. Keeps capital out of slow movers.
Allocates ad spend by true margin. Kills losers. Feeds winners.
Calculates profitability per campaign after product costs, fees, and organic lift. Flags budget-capped winners and bleeding losers. Executes low-risk adjustments within guardrails.
SP-Brand-Exact campaign spent $1,280 with 0 conversions in 72 hours → paused autonomously → $1,280/mo reclaimed.
Lowers ACoS. Protects TACoS. Shifts budget to campaigns that actually make money.
Scores every listing. Detects silent edits. Reverts damage.
Audits title, bullets, description, keywords, and images across your catalog. Catches unauthorized edits within hours. Monitors Buy Box and suppression events with resolution paths.
Detected silent title edit on B0EXAMPLE2 (unauthorized change from Brand A to Brand B) → auto-reverted → protected $544 in 30-day revenue impact.
Preserves organic rank. Prevents hijacks. Eliminates catalog drift.
Coordinates every agent. Sends the brief. Escalates what matters.
Aggregates alerts across all four domains into one prioritized view. Correlates cross-domain events. Delivers a daily executive brief and a weekly strategic plan.
Stockout on SKU-1847 + ad cliff on parent campaign + Buy Box loss on same ASIN → correlated into one insight → restock + pause recommended as single action.
Replaces your daily standup. Turns 30 alerts into 3 decisions. Makes sure nothing falls through.
No implementation fee. No consulting engagement. No six-month rollout.
One-click SP-API and Advertising API connection. We pull 12 months of orders, ads, listings, and inventory. Live backfill progress bar shows status.
The four agents ingest your data, calibrate baselines, and begin monitoring. First daily brief lands in your inbox within 24 hours.
You set the guardrails. Low-risk reversible actions run autonomously. Medium-risk decisions route to you for approval. High-risk actions are never autonomous.
Outcomes we target in the first 90 days. Measured on your actual Amazon data, not vanity metrics.
Operational cost reduction vs. staffed team
ROAS improvement through margin-aware budget reallocation
Stockout prevention on A-tier SKUs
Silent listing edit detection + auto-revert
Amazon operations got bloated. A $10M brand now runs on five dashboards, three agencies, two VAs, a PPC contractor, and a shared Notion no one opens. Half of what that team does is monitoring. The other half is reacting to things they should have caught earlier.
Most of it isn't strategic work. It's checking Seller Central every morning, updating restock sheets, pausing bleeding campaigns, catching listing edits, writing brief after brief that nobody reads.
That layer can be automated now. Not partially. Completely.
eCom Force is four operators working the way a lean, senior Amazon team would work if they never slept, never missed a handoff, and never forgot to check something. The COO Agent coordinates them. You make the calls that actually matter.
The result: your team doesn't grow linearly with revenue anymore.
We're onboarding a limited cohort of Amazon brands and agencies in Q2. Priority goes to operators doing $3M+ and managing serious SKU complexity.
We'll respond within 2 business days.