Unified Commercial View
Bring sales, advertising, catalogue, conversion, visibility and inventory signals into one decision framework.
Commerce Intelligence
Turn fragmented commerce data into clearer decisions.
Digital Bees connects sales, advertising, catalogue, visibility, conversion, availability and profitability signals into product-level commercial intelligence.
Direct answer
What is commerce intelligence?
Commerce intelligence is the process of reconciling marketplace, quick-commerce and retail-media data so business leaders can understand what happened, why it happened and what to do next. Its purpose is not to produce more dashboards; it is to make product, budget, inventory and growth decisions more precise.
Scope of work
Six layers of connected commercial intelligence.
Product-Level Performance
Understand which products generate growth, absorb spend, lose visibility, face availability risk or require commercial correction.
Advertising Economics
Connect campaign efficiency with total sales, organic contribution, conversion and product-level profitability.
Availability Intelligence
Surface stock-outs, under-distribution and location-level gaps that can make otherwise strong demand appear weak.
Competitor and Shelf Signals
Track search presence, category placement, pricing, promotions and competitive visibility across priority segments.
Action-Oriented Reporting
Convert fragmented dashboards into priorities, owners, deadlines and management decisions that teams can execute.
Decision system
One version of the commercial truth.
Digital Bees first checks whether the underlying reports agree. Date ranges, product mappings, advertising attribution and margin inputs must be reliable before the analysis can guide investment.
Once reconciled, the information is organised around the decisions leaders actually need to make: which products to scale, where value is leaking, what needs correction and who owns the next action.
What we connect
- Sales and units by product and channel
- Sessions, conversion and discoverability
- Advertising spend, sales, ROAS, ACOS and TACOS
- Organic versus advertising contribution
- Product-level contribution and profitability
- Availability, stock-outs and distribution gaps
- Competitor visibility, pricing and share of shelf
- Priority actions, owners and completion status
Intelligence workflow
From raw reports to accountable action.
Reconcile the Data
Confirm source definitions, date ranges, product mappings, advertising attribution, sales totals and margin inputs before drawing conclusions.
Build the Decision View
Organise the information around products, channels and commercial questions so leaders can see performance, leakage, opportunity and risk together.
Create the Action Cadence
Translate the intelligence into weekly priorities, accountable owners, monthly commercial reviews and a continuously updated growth roadmap.
The reporting structure is adapted to available data, catalogue complexity, channels, commercial objectives and the decisions the leadership team needs to make.
Frequently asked questions
Commerce intelligence, clearly explained.
What is commerce intelligence?
Commerce intelligence is the structured use of marketplace, advertising, catalogue, visibility, inventory and profitability data to make clearer commercial decisions across products and channels.
How is commerce intelligence different from reporting?
Reporting describes what happened. Commerce intelligence reconciles the signals, explains why performance moved, identifies where value is leaking and defines what action should happen next.
Why is product-level analysis important?
Account-level totals can hide products that are profitable, overspending, under-distributed or losing organic visibility. Product-level analysis shows which specific decisions are driving the overall result.
Can Digital Bees work with existing dashboards and tools?
Yes. Digital Bees can use available platform data, business reports and compatible intelligence tools. The first priority is reliable definitions and reconciled data rather than replacing systems unnecessarily.
What decisions can commerce intelligence improve?
It can improve product prioritisation, advertising allocation, catalogue work, inventory planning, location expansion, pricing reviews, competitor response and the sequencing of marketplace growth initiatives.
Clearer signals. Better decisions.