Data Intelligence

Turn ecommerce data into Better Decisions.

Bring marketplace, storefront, marketing, and operational data together to see what matters and act faster.

CHOOSE YOUR LEVEL OF SUPPORT

Support that fits your business.

01

Dashboard setup

Replace scattered reports with a clearer business view.

  • Source and KPI mapping
  • Dashboard structure
  • Data quality checks
  • Reporting setup
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02

Analytics & insights

Understand performance across channels and products.

  • Sales and channel reporting
  • Marketplace analysis
  • Product and campaign insights
  • Trend and variance analysis
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03

Ongoing intelligence

Keep useful insights flowing into decisions.

  • Recurring performance reviews
  • Opportunity identification
  • Business reporting
  • Continuous dashboard refinement
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Business intelligence capabilities

Know what matters. Act on what changes.

What happened?

Track revenue, orders, traffic, and other key metrics.

Why did it happen?

Understand trends, gaps, and performance drivers.

What should change?

Prioritize the next action with greater clarity.

Which products lead?

Identify top sellers and product-level opportunities.

What needs attention?

Surface unusual shifts before they become bigger problems.

See the business
behind the numbers.

Useful reporting connects channels, products, and operations rather than leaving them in separate spreadsheets.

DATA INTELLIGENCE WORKSPACE LIVE VIEW
DATA
revenue · channels · operations
CHANNEL PERFORMANCE
REVENUE$482K
ORDERS9,860
AOV$48.90
AmazonShopifyWalmart
PRODUCT PERFORMANCE
DATA
★★★★★ Top product Units · revenue · margin
Product → Channel → Revenue
OPERATIONAL HEALTH
OPERATIONSFulfillmentStock + Returns + Delivery
On-timeStock coverReturns
REPORTING VIEW
Overviewrevenue and orders
Channelscompare channel results
Productsfind top performers
Operationsinventory and fulfillment
Sales & channel reporting

Know which channels, products and campaigns drive revenue

Consistent reports that compare like with like across every channel, delivered on a schedule your team can plan around.

Unified sales data

Marketplace and store sales combined into one consistent model.

Weekly and monthly reports

Scheduled reporting with period-over-period and year-over-year views.

Ad spend in context

Advertising cost shown alongside sales so efficiency is easy to judge.

Marketplace & operational insights

Findings you can act on this week

Every report includes clear observations and next steps. These are examples of the kinds of insights we surface.

Inventory

Best-sellers running low before a peak period

Stock cover compared with forecast demand, so reorders are placed in time.

Reorder recommendation by SKU

Advertising

Ad spend rising faster than ad sales

Campaign efficiency tracked against sales so budget moves to what converts.

Campaigns to scale or pause

Pricing

Price gaps between channels

The same product priced differently across marketplaces, with the effect on sales.

Pricing alignment list

Returns

Products with unusual return reasons

Return reasons grouped by product to reveal listing, sizing or quality issues.

Listing and product fixes

Listings

High-traffic listings that don’t convert

Pages with strong views but weak sales, flagged for content or price review.

Listing optimization queue

Fulfillment

Late shipments by warehouse or carrier

Fulfillment timing broken down to show where delays actually happen.

Carrier and warehouse review

From data to decisions

How we turn raw data into reporting you trust

  1. 01

    Connect

    We link marketplaces, your store, ad platforms and operational sources.

  2. 02

    Clean & model

    Data is standardized so products, channels and periods compare correctly.

  3. 03

    Visualize

    Dashboards and reports are designed around the questions each team asks.

  4. 04

    Review

    We walk through the numbers with you and highlight what changed and why.

  5. 05

    Act

    Findings become prioritized actions for operations, marketing and leadership.

LET'S TALK

Ready to make better decisions with your data?