Sophisticated modeling techniques
We adopt the contextual multi-armed bandit approach with classical revenue and demand models. We use Reinforcement Learning to learn online and immediately consider decisions impact combined with classical revenue and demand prediction. Therefore multiple models are competing to ensure that only the best performing and generalizable model is used for your pricing.
Overcoming the cold-start problem
We exploit clustering algorithms to tackle the classical cold-start dilemma. Generally, if you begin your analysis with having little to no data, your models would be bad. With our different aggregation levels, we enable you to deliver faster results and learn across all your target markets.
Smart price roll-outs
We carefully solve user individual price fluctuations, so no one feels disadvantaged. There will never be day-to-day price changes for a single user. Price changes will be slowly adapted. Additionally, your already subscribed customers won't be affected by annoying price changes.
Smart pricing competition
You don't want your products competing against each other. We check that similar products of yours, like different subscription lengths for a premium version, will always stay in proportion. We also optimize the relationship between your products supervised separately.
Make your prices smarter
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