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USE CASE

1

Challenge

The leadership of a DTC company sees revenue growing after major campaigns, yet profitability continues to decline. During campaign reviews, marketing celebrates sales growth, operations complains about inventory disruption, and finance reveals shrinking margins through post-campaign analysis. Leadership realizes departments planned and measured the campaign in silos, while data integration and commercial analysis remain highly manual and disconnected.

Solution

Introducing a Commercial Analyst AI Agent that connects marketing with financial and operational functions. Before campaign launch, the agent simulates commercial outcomes across revenue, contribution margin, CAC, inventory movement, and retention impact, then provides insights and recommendations to support faster and better human decision-making.

Results

The business reduces margin-destructive campaigns, improves forecasting accuracy, lowers wasted ad spend, and shortens decision-making delays between teams. Marketing gains clearer visibility into the commercial impact of promotions, enabling more predictable growth and stronger contribution margins.

The Orkestra approach

Connect silod functions

AI-native by design

End-to-end workflow orchestration

Real-time data, real impact

Built for long-term value

High-Growth DTC Brand Still Struggles With Margins

Industry: DTC / E-commerce
Functions: Marketing, Finance, Operations
Pouring Green Juice
The Orkestra Difference

We don't just implement tools .

We design AI-native marketing operations systems that align people, processes, and technology to drive real business outcomes.

Let's build your system
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