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We combine your vision with our expertise, offering services to ensure your success at every stage of your product and data journey.

Sparking Ideas, Tinkering Success

We're pretty good at this stuff

Product Discovery

RFP Writing

Rapid Prototyping

PoC/PoV Development

Vendor Selection

From Product Discovery to RFP Writing, we help create detailed blueprints and attract the right vendors. Through Rapid Prototyping and PoC/PoV Development, we quickly build and test product models. Our Vendor Selection ensures you choose the best partners for your project.

We handle Data Acquisition and Integration, clean and prepare data through Data Wrangling, and provide actionable insights with Business Intelligence. Our Predictive Analytics and Machine Learning models forecast trends, while MLOps ensures seamless deployment. Dashboards and Reporting offer real-time insights, and continuous monitoring ensures accuracy and effectiveness.

Data Acquisition/Integration

Data Wrangling

Business Intelligence

Predictive Analytics/ML

MLOps 

We build, upload, update, and index your product catalog, ensuring your e-commerce platform is always current and optimized for conversion.

Catalog Management

Catalog Update

Product Upload

Catalog Building

Catalog Indexing

Catalog Conversion

Why Choose DataRise Studio

Case Studies

Optimizing Logistics Center Costs for a Fast-Growing Grocery Retail Chain

Client:

Service Area:

Outcomes:

Customer Savings:

Grocery Retail Chain (50+ stores)

Digitizing manual processes

- Data-Driven Cost Allocation Model

- Dashboards (for supplier and logistics manager)

EUR 3.4M annually

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A rapidly expanding grocery retail chain (RC) with 53 stores faced the challenge of managing the operational expenses of its centralized Logistics Center (LC). The LC, responsible for delivering goods to all stores except dairy and bakery products, which were delivered daily by suppliers, incurred an annual cost of EUR 3.4 million. RC aimed to split these costs among its 274 suppliers in a fair and transparent manner. The goal was to optimize the LC’s processes and calculate the costs for each supplier based on the nature and volume of goods they delivered, making it more cost-effective for suppliers to use the LC rather than delivering directly to each store.

Tell us more what you're up to

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