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Platform · every stage of the product cycle

Four ways
to find the answer
before the market does.

Tastry replaces the trial-and-error inside every stage of consumer product development. From forecasting demand to engineering the formulation to targeting the audience that is most likely to love it.

01Strategic intelligence
02Assortment planning
03Product development
04Consumer targeting
01 · Strategic intelligence

See the market
before you brief it.

Most product portfolios start as a hunch and get refined by the time the hunch is too expensive to walk back. Tastry inverts that. We forecast opportunity at the store, region, and demographic level using real chemistry-to-preference signal, before a brief is written, a recipe is drafted, or a single panelist is booked.

  • Demand forecastingProject category-level demand by SKU and geography, grounded in preference signal rather than sell-through.
  • Whitespace detectionSurface unmet pockets of preference that no current product addresses.
  • Portfolio simulationStress-test what happens if you launch, kill, or reformulate a SKU before you actually do.
Predicted palate match to a sample across U.S. regions, 67 to 95 percent.
Two products overlap in preference space, leaving an unaddressed opportunity.
02 · Assortment planning

Find the gap.
Design for it.

Every portfolio overlaps with itself somewhere and misses preference space somewhere else. Tastry maps where your products actually compete, and where they leave audience on the table for a competitor to take.

  • Overlap analysisQuantify cannibalization between SKUs by preference, not by category code.
  • Gap discoverySurface pockets of unaddressed preference inside an addressable audience.
  • Brief generationTranslate a gap directly into a chemistry-grounded target profile for R&D.
A designed recipe lands on the in-market target while other recipes scatter in concentration variance.
03 · Product development

Design the recipe
in the model.

Iterate on a digital twin of the product against a digital twin of the consumer. Run millions of candidate formulations in minutes. Find the one with the highest density of love inside your target audience. Build only that one in a lab.

  • Predictive formulationGenerate and score candidate recipes against a chemistry-trained preference model.
  • Reformulation under constraintSubstitute sugar, alcohol, allergens, or cost-driven ingredients without losing the consumer.
  • Reverse engineeringMatch a target flavor profile from a competitor or a target ingredient list. In days, not years.

A global flavor house spent 18 months and 9 attempts to match a customer's target. We matched it on the first try in 2 weeks.

04 · Consumer targeting

Match the brand
to the right humans.

Demographics are a weak proxy for preference. Two thirty-something women in the same zip code can have radically different chemistry-level palates. Tastry targets at the level where preference actually lives, so brands stop marketing to the population and start marketing to the people who will love them.

  • Preference-graded audiencesSegment by predicted depth of preference, not by lifestyle clusters.
  • Channel-aware activationMatch shelf, region, and channel to the audience most likely to convert.
  • Lift forecastingPredict the expected lift of a campaign before media is bought.
Consumers matched to a product by predicted preference: 95, 82, and 76 percent match.
In one model

One platform.
Every stage of the cycle.
Predict, then build, then sell.

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