Givaudan
From slow research to customer-ready stories: How Givaudan drives faster buy-in with Tastewise
- 162+
- customer presentations delivered
- 1+
- hour saved per presentation
- 5
- follow-up visits from one concept
“What used to take us days now takes minutes. With Tastewise, I can pull real-time flavor insights in 10–20 minutes and get that into presentations. It’s completely changed our pace of execution.”
Melissa TurnerGivaudan EMEA
- Industry
- Flavors and fragrances
- Region
- EMEA
- Use case
- Customer presentations, trend storytelling, sales enablement
Givaudan’s EMEA team needed to keep pace with fast-moving taste shifts while delivering presentations that felt local, relevant, and grounded in real behavior. Traditional research made that difficult, it took time to gather data, validate ideas, and turn them into something customer-ready.
Using Tastewise, the team can now access real consumer demand signals across recipes, menus, and food conversations. Instead of spending days pulling insights together, they can move from question to presentation in minutes, while development work is still in progress.
Challenges
Givaudan needed a faster way to turn scattered signals into presentations that resonate with customers.
Research relied on manual work
. Trend analysis often took days of gathering and synthesizing information.
Limited real-time visibility
. It was difficult to validate flavor ideas against what consumers were engaging with right now.
Presentations lacked local relevance
. Customer conversations required more specific, market-level insights.
Too much time spent preparing insights.
Teams spent more time building decks than shaping ideas and stories.
Tastewise’s Solution
Tastewise became Givaudan’s real-time insight layer for building customer-ready presentations.
Direct access to consumer demand signals
. Tastewise analyzes recipes, menus, and food conversations to show what is gaining traction and why.
Faster insight workflows
. Teams can move from question to insight in minutes using TasteGPT and platform analytics.
Proof-first storytelling
. Presentations start with real data, examples, and drivers, not assumptions.
Local insight at scale
. Market-specific signals allow teams to tailor each conversation to the customer context.
Results
Tastewise helped Givaudan turn faster insight into more consistent and effective customer engagement.
162+ customer presentations delivered
Teams built a steady flow of insight-led decks instead of relying on ad hoc research.
Trend analysis in minutes, not days
Faster insight allowed teams to respond quickly to customer needs and opportunities.
More time for storytelling
Reduced research effort freed teams to focus on shaping stronger narratives.
New customer momentum from insight-led ideas
A cocktail concept alone led to five follow-up customer visits, showing how stronger stories drive real conversations.
| Challenges | to | Solutions |
|---|---|---|
| Research relied on manual analysis | Delivered real-time consumer demand signals | |
| Limited visibility into current trends | Surfaced what consumers are engaging with now | |
| Presentations lacked local relevance | Enabled market-specific insight for each customer | |
| Too much time spent preparing insight | Reduced research and prep time from days to minutes |
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