Pain point:

It takes 6-8 hours before the valuable OMS data can feed our dashboards, also leading to unexpected high cloud processing costs. Furthermore, we need the data almost instantly to track operations like store, shipping, and customer service performance…

Pain killer:

We developed a data pre-processer enabling incremental data ingestion. Lowering data freshness under 5 minutes and related costs. Establishing a near real time instead of a daily operations performance overview.

Leveraging machine learning (ML) and artificial intelligence (AI) to generate product (bundles) suggestions and predictive promotions that can be used throughout the customer journey. Breaking the silos of different touchpoints to create a truly integrated customer experience.

Leveraging machine learning and artificial intelligence (AI) to set the best price point to achieve business goals. Combining internal data, user behavior, and competitor price and promotion changes to maximize the outcome.

We developed a platform to support the true data-driven CMO to quantify the impact of marketing. This is achieved by attributing profit and revenue growth to the marketing initiatives. In addition to reviewing past performance, the platform has forecasting possibilities that enables the marketing teams to justify the marketing budget and test the impact of redistribution on their key KPIs.