From Commerce Signals to Revenue Decisions.
ACIL is a commerce intelligence and decision layer that connects shopper behavior, catalog, inventory, ranking, returns, and cancellations to surface prioritized revenue opportunities, explain the evidence, and help merchants decide what to do next. Detection and scoring are deterministic and traceable; Claude turns those structured findings into clear, merchant-ready narration.
“Autonomous” means continuous monitoring and detection. ACIL is advisory today; merchants approve every action.
ACIL Product Demo
Commerce intelligence in action
What ACIL detects
See what ACIL is looking for.
ACIL combines shopper behavior, product performance, and inventory position to flag specific conditions a merchant can review and act on.
Signal condition
Rising demand + low inventory
ACIL interpretation
Replenishment opportunity
Business meaning
Protect future revenue before stock becomes constrained.
Signal condition
Demand + out of stock
ACIL interpretation
Lost-revenue / restocking opportunity
Business meaning
Expose demand that cannot currently convert.
Signal condition
High inventory + weak demand
ACIL interpretation
Overstock review
Business meaning
Surface inventory that may require merchandising attention.
Signal condition
High views + weak add-to-cart
ACIL interpretation
PDP / merchandising opportunity
Business meaning
Identify potential conversion leakage.
Signal condition
Inventory available + low exposure
ACIL interpretation
Discovery opportunity
Business meaning
Find products that may be commercially invisible.
Signal condition
Elevated cancellations
ACIL interpretation
Post-purchase revenue leakage
Business meaning
Trigger operational or merchandising root-cause review.
Signal condition
Elevated returns
ACIL interpretation
Return-risk review
Business meaning
Identify potential product, content, expectation, or quality issues.
How ACIL works
Not another analytics dashboard.
Merchants do not need another screen full of metrics. ACIL helps them identify what deserves attention, understand the evidence, and decide what to do next.
Observe
Capture shopper behavior, product, catalog, inventory, returns, cancellations, and transaction signals.
Detect
Identify revenue opportunities, leakage, inventory pressure, weak conversion, product blind spots, and risk conditions.
Recommend
Prioritize the conditions that deserve merchant attention and recommend the next area to review.
Explain
Show the evidence behind each recommendation: demand, inventory, severity, ranking, and supporting metrics.
Decide
Keep the merchant in control with a governed workflow to acknowledge, resolve, or dismiss opportunities.
Commerce Intelligence
ACIL: Autonomous Commerce Intelligence Layer
ACIL uses deterministic, auditable logic across shopper behavior, catalog, inventory, ranking, returns, and cancellations to find and prioritize conditions a merchant may miss or discover too late. Claude receives structured evidence from that logic layer and generates merchant-ready narration. It does not determine the opportunity or invent the underlying metrics. The merchant stays in control of every decision.
Commerce Intelligence Console
Illustrative pilot scenario
Potential Revenue Opportunity
$49,280
Example opportunity derived from ranking, conversion, inventory, and product-risk signals. This is demonstration data, not a customer result.
Products Reviewed
1,248
Risk Signals
37
Recommended action
Prioritize high-intent products, review underperforming PDPs, and monitor cancellation and return-risk signals before revenue is lost.
Pilot-ready capabilities
What merchants can use in the pilot today.
These capabilities are implemented in ACIL today and are part of the pilot experience.
Behavior
Shopper Signal Intelligence
Views, clicks, add-to-cart, checkout, purchases, returns, and cancellations are captured as independent commerce signals.
Inventory
Inventory Intelligence
Detect low stock, out-of-stock demand, restocked products, demand spikes, overstock, and catalog-sync conditions.
Revenue
Revenue Opportunity & Leakage
Surface where revenue may be at risk, recoverable, or expandable by connecting demand, conversion, and inventory conditions.
Performance
Product Ranking
Evaluate product activity so teams can understand which products are gaining or losing commercial attention.
Interpretation
Ranking Impact
Translate product performance into merchant-facing conditions such as promote, PDP work, low attraction, return watch, and monitor.
Explanation
Claude-Powered AI Narration
Translate ACIL’s deterministic findings and supporting evidence into clear explanations of what is happening, why it matters, and what the merchant should review next.
Workflow
Decisions Board
Move opportunities through Open, Acknowledged, Resolved, or Dismissed states so intelligence becomes an operational process.
Trust
Health & Data Freshness
Monitor shopper, catalog, inventory, ranking, and opportunity freshness so teams understand the quality of the intelligence.
Operations
Reporting & CSV
Export merchant-ready reports and recommendations for analysis, follow-up, and collaboration across commerce teams.
Measure value against a merchant-agreed baseline.
The 30-day pilot connects ACIL to a merchant’s own commerce signals, establishes a baseline, and measures one mutually agreed primary success metric. Required inputs are product/catalog data, full and incremental inventory, shopper behavioral events, and available order-lifecycle signals. ACIL’s revenue-at-risk figures are modeled estimates; measured recovery is reported only when the pilot data supports it.
Pilot readiness
ACIL has completed tenant-isolation, load, and penetration testing for the current pilot environment.
Pilot success metrics agreed at kickoff
What share of prioritized opportunities did the merchant act on?
What happened to revenue, conversion, or stockout exposure on acted-on SKUs?
How much merchant time was reduced in finding and prioritizing issues?
Did measured outcomes support expansion from pilot to paid adoption?
Product roadmap
What comes next after pilot validation.
These are planned product directions and are not part of the current pilot scope.
TikTok Commerce Connector
ROADMAPIngest social-commerce signals as an independent ACIL source so merchants can connect storefront and channel demand without tying the integration to SFCC.
Shopify Connector
ROADMAPMap Shopify commerce signals into ACIL’s canonical event and product model after the Salesforce pilot playbook is validated.
Adobe Commerce Connector
ROADMAPExtend ACIL to another enterprise commerce platform using the same normalized intelligence layer rather than a platform-specific rebuild.
Controlled Automation
ROADMAPAllow merchants to approve selected actions before ACIL executes them through connected commerce systems.
Revenue Impact Measurement
ROADMAPLink merchant decisions to subsequent outcomes so identified opportunity, action, and measured impact can be evaluated together.
MCP & Agent Connectivity
ROADMAPLet external AI agents query ACIL recommendations and supporting evidence through governed interfaces.
Contact
See whether ACIL fits your commerce team.
Start with a pilot conversation or explore the demo environment. We can also discuss implementation and partnership options.
Email: support@daatlayer.ai