Demand Intelligence

Demand moves. It peaks in a month, shifts to a different audience, grows for two years and then stops. Buying decisions made against last year's picture are made against the wrong picture.

Demand Intelligence tracks how consumer demand shifts across categories, seasons, audiences, and occasions.

What it answers

Where a category is heading.

What trends are emerging in kitchenware?

Is demand for electric scooters growing or declining?

When it peaks. Seasonal patterns from historical weekly data, which is the difference between ordering in March and ordering in June.

When does demand for pool floats peak?

What is the seasonal pattern for outdoor furniture?

How fast it is moving. The rate of change over the recent window, not just the direction.

How fast is demand growing for insulated water bottles?

Who is searching, and for what occasion. Demographic and occasion patterns, and how they are shifting.

How is the audience for yoga gear changing?

Which occasions are growing in kitchenware?

How big the category is. Total addressable demand from aggregated search volume and cost per click.

How big is the kitchen knife market?

What it needs

Nothing. Every question above is about the market, so this skill works with no catalog attached. It is the natural starting point for research work, category sizing, and planning a launch into a space you do not sell in yet.

Attach a catalog and the same questions get framed against your products.

What comes back

Trend and seasonality findings in prose with the supporting series in tables, and the date the underlying data runs through stated in place: "counts as of July 16, 2026". Where a build date cannot be established, it is omitted rather than invented.

Endpoint for direct integrations: POST /a2a/demand-agent. See the A2A reference.