Mademoiselle Desserts
How Mademoiselle Desserts turned seasonal ideation into real-world results with Tastewise
- 145% Sales Increase
- Lift since the 2024 launch of the seasonal cake.
- 1 Seasonal Launch
- Successfully launched the chosen seasonal cake using Tastewise AI.
- Press Feature
- Coverage in British Baker strengthened the sell-in story.
“The plan isn’t for it to replace our bakers and their creative brains; it is to help them expand their horizons while saving precious time.” - Anthony Saison | Head of Category Insights & Customer Marketing, Mademoiselle Desserts”
- Categories
- Product Innovation
The Mademoiselle Desserts innovation and product teams explore new flavor territory for seasonal cakes, then translate what consumers want into bakery-ready products. They began experimenting with AI for ideation and validation, and partnered with Tastewise to bring live consumer signals into their process. The goal was simple: keep creativity high, reduce guesswork, and move from concept to sell-in faster.
Challenge
How did Mademoiselle Desserts tackle these challenges to shape a seasonal winner and uphold their standard for premium, visually striking products?
- Consumer preferences and seasonal expectations shift quickly, so broad prompts produced imaginative yet impractical ideas.
- To choose with confidence, the team needed current signals to validate flavor territories and premium cues before investing in development.
Why Tastewise
Tastewise emerged as the ideal partner, giving Mademoiselle Desserts the tools to guide creativity with data.
Real-time direction for confident choices
Tastewise helped translate seasonal occasions into flavor territories with consumer pull, so the team could pursue ideas that fit how people actually eat and share.
Faster path from prompt to product
Insight-led shortlists reduced back-and-forth, enabling quicker movement into bakery trials and stakeholder alignment.
Human craft, elevated
Data shaped the brief, then bakers adapted proven bases to deliver the visual and premium profile consumers reward.
Solution
Using Tastewise’s platform the team could:
- Focus exploration on seasonal moments, then prioritize flavor families aligned with those occasions.
- Convert top ideas into clear concept directions that support sell-in and bakery specs.
- Shortlist three finalists from many initial ideas, then advance the on-trend, highly visual choice to final development.
- Keep expertise central while saving time, balancing AI-led inspiration with the team’s tried-and-tested recipes.
Results
145% Sales Increase
Lift since the 2024 launch of the seasonal cake.
1 Seasonal Launch
Successfully launched the chosen seasonal cake using Tastewise AI.
Press Feature
Coverage in British Baker strengthened the sell-in story.
Accelerated NPD
Faster development with innovative AI insights.
Trend-Aligned Concepts
New flavor combinations created to match consumer demand
| Before Tastewise | to | After Tastewise |
|---|---|---|
| Broad prompts returned eccentric ideas that weren’t consumer-ready. | Clear seasonal focus narrowed to viable concepts, then into bakery trials. | |
| Hard to translate “colorful, autumn, winter” into concepts with demand behind them. | Three finalist concepts were selected from a wide list. One advanced to the final development. | |
| NPD time was at risk due to trial-and-error exploration. | Development streamlined to just 1–2 iterations | |
| 145% sales increase post-launch, plus trade press recognition. |
Overall
Tastewise transformed Mademoiselle Desserts’ front end of innovation from open-ended prompts to data-driven execution. By pairing real consumer signals with a collaborative bakery workflow, the team accelerated decisions, cut iterations, and delivered a consumer-backed seasonal hero that drove a 145% sales increase and earned trade press attention, creating a repeatable model for future seasonal platforms.
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