revenue+0%
Stelloid AI translates the target into focused weekly moves for this apparel brand.
Drive profitable growth across your e-commerce channels. Stelloid uncovers sales opportunities and
profit leaks, and recommends weekly actions tied to your business goals.
Stelloid AI translates the target into focused weekly moves for this apparel brand.
Disconnected reports make it hard to spot missed sales, catch margin leakage
and decide what to act on this week.
Sales, ad performance and inventory sit in separate reports. Teams miss growth opportunities—and stockouts on the right channel leave demand unmet.
Ad spend, discounts, fees and returns aren’t connected to SKU and channel revenue. Sales rise while margin leakage goes unnoticed.
Commerce goals don’t become weekly action plans across channels and SKUs. Teams piece together reports, and human guesswork determines what happens next.
Scattered inputs · manual reconciliation · human guesswork becomes the decision layer
Stelloid connects channel and SKU insights to your commerce goals—prioritizing weekly actions to capture sales opportunities and protect margin.
Define the outcome and timeframe.
Find the strongest weekly moves.
Keep your team in control.
See what actually worked.
One view of product and channel performance.
One focused action plan tied to your goals.
Explore sales, ad spend, stock and profitability by SKU and channel—without reconciling separate reports.
| Channel | Net revenue | CM | AOV | AI highlight |
|---|---|---|---|---|
| +19.2% | 36% | +12.4% | Bundles are lifting AOV | |
| +22.6% | 27% | +5.8% | Compton Cap leads growth | |
| +8.1% | 23% | +3.1% | Margin needs attention |
Fastest revenue growth at +22.6% while CM remains above guardrail.
Bundles and cross-sells lifted average order value by 12.4%.
23% CM is one point above the operating floor; discounts need review.
Compton Cap converts efficiently and has enough stock to absorb demand without breaching the 22% contribution-margin floor.
See what to do, why it matters and its expected impact on your goal. Approve or defer each recommendation.
Most brands don't have a data problem. They have a decision problem—the same numbers, argued about every week.
Stelloid AI turns that weekly argument into one focused plan: unified SKU × channel economics and clear data-driven actions.
For consumer brands that need a clearer way to decide what to push, price, bundle, replenish, list or pause.
Own the revenue or margin target and need a clear weekly path toward it.
Decide SKU-by-channel priorities every week across the webshop and marketplaces.
Allocate ad spend and need CAC, inventory cover and margin in the same view.
Need contribution margin, fees, returns and inventory visibility they can trust.
Stelloid AI proposes actions. It does not change prices, campaigns, listings or inventory on its own.
Recommendations use SKU, channel, cost and performance data—not customer names, emails or payment details.
Every action shows its evidence, expected impact, confidence and stop condition before your team decides.
If something isn't covered, email us—we'd rather answer directly than have you guess.
Pilots can start from exports across commerce, marketplace, advertising, analytics, inventory and finance systems. Connectors are added deliberately; each integration’s requested fields and access level are documented before activation.
No. Stelloid is read-only by default. Recommendations are proposals that a person on your team approves, applies or defers.
SKU-level sales, orders, discounts, returns, advertising performance, inventory, costs and the operating guardrails your team already uses. Customer PII is not required.
Stelloid evaluates the gap to the revenue or profit goal over its timeframe, ranks SKU × channel opportunities, and shows each move’s evidence, expected impact, confidence and stop condition.
Stelloid aligns net revenue with product cost, marketplace or payment fees, fulfilment, shipping, returns and other agreed cost inputs. The same definitions are used across the brand, channel, SKU and SKU × channel views.
Approved actions enter a before-and-after measurement loop. Stelloid compares the observed outcome with the expected range and uses the learning in subsequent weekly plans.
Access is kept to the minimum required for the pilot, data is encrypted in transit and at rest, and your team can request an export or deletion of pilot data at any time.
We align metric definitions, import a limited set of channel exports, choose one business goal and timeframe, and review a focused AI action plan with your team each week. No automated write access is needed.
A focused walkthrough using your context: unified SKU-level economics, goal-to-action recommendations and before/after impact—no live data required to start.