Commerce Layer

Finance

Neotask makes your Commerce Layer store data accessible through OpenClaw — 33 analytics actions covering orders, carts, and returns so you always know what's happening in your commerce operation.

What You Can Do

With 33 analytical actions, Neotask's Commerce Layer integration through OpenClaw turns your headless commerce data into conversational intelligence.

Core Query Tools (12 actions)

For each of orders, carts, and returns:

  • Breakdown — Aggregate data by any field (status, market, payment method, etc.)
  • Date Breakdown — Aggregate by date with operators for trend analysis
  • Stats — Numeric computations: totals, averages, min/max on any field
  • Search — Filter and search records with complex conditions

    • Frequently Bought Together (1 action)

  • `fbt` — Discover product affinity patterns for upsell and cross-sell optimization

    • Specialized Analytics (20 use-case tools)

    Pre-built analytics for the most common commerce questions:

  • Best-selling products by market
  • Customers who bought a specific product
  • Orders by bundle, currency, day, repeat customer
  • Orders associated with specific promotions
  • Orders paid with gift cards
  • Top 10 spenders by currency
  • Shipments average time in picking
  • Refunds by country and currency
  • Returns per year by destination city
  • And more

    • Every action runs autonomously or requires your approval — you decide.

    Try Asking

  • "What are our best-selling products in the US market this month versus last month?"
  • "Show me our cart abandonment stats for the last 30 days — broken down by device type"
  • "Which customers have bought Product A? I want to target them with a Product B promotion."
  • "What's the average order value in each currency we operate in?"
  • "Which promotions drove the most orders last quarter?"
  • "What are the most frequently bought together products in our Electronics category?"
  • "Show me our return rate by month for the last year — is it trending up or down?"
  • "Who are our top 10 spenders in USD this year? I want to create a VIP segment."

    • Pro Tips

  • Schedule a weekly commerce report automation that queries orders, returns, and FBT patterns and posts a summary to your merchandising team's Slack channel.
  • Connect Commerce Layer with your CRM in an app group: when an order is placed by an existing lead, agents can update the deal in Close CRM automatically.
  • Use the orders-by-repeat-customer query to track customer loyalty trends — growing repeat purchase rates are a leading indicator of business health.
  • Multi-agent teams can run full commerce analytics: one agent queries order data, another analyzes return patterns, and a third drafts merchandising recommendations.
  • The FBT analysis combined with best-selling-products-by-market is powerful for localized recommendations — understand what sells together in each of your markets.

    • Works Well With