Demand Forecasting for Inventory Optimisation
Case StudyCheck out how we’ve helped one of our client to optimise inventory levels using demand forecasting solutions.
From Raw Data to Real Impact
Unlock the full potential of your data with our cutting-edge data science and engineering solutions.
Watch the video to see how our solutions can turn your raw data into a strategic advantage.
Our Services
To help your company grow, we first tackle the core problem to unlock data potential, then apply the best Data Engineering and Data Science techniques.
Data Engineering
We design and create systems for collecting, transforming, and storing records for operational and strategic use.
We analyze your business challenges to identify the most effective technologies and techniques, define project scope, estimate costs and timelines, and assess potential risks to ensure a successful outcome.
Set up cloud storage with optimized cataloging, metadata, information retention, security policies, and backup management for fast, secure data access.
Pipelines are crucial for accelerating data-driven decision-making when dealing with multiple sources, services, or formats. They automate and streamline flow, reducing manual steps and ensuring seamless transitions between stages.
There will never be a perfect state of data, but that doesn't mean you shouldn't invest in tracking, measuring, and improving processes and data quality. This includes live monitoring and historical quality reporting, providing insights on how to iteratively improve each stage.
Enhancing data platforms to meet top standards in security, storage, data ingestion, and data governance, while ensuring cost efficiency and performance optimization.
Data Science
Some business questions can't be answered without data, but should they be answered at all? We identify and address your company's pain points through these key Data Science stages:
When a company encounters a challenge, it’s essential to frame the problem for data to deliver actionable insights. As both technical experts and business consultants, we continuously adapt and refine business questions to be data-driven, ensuring optimal solutions.
Explore and ingest data from various sources—such as APIs, web scraping, and internal services—followed by quality analysis and data cleansing. This process also involves planning storage options and environments aligned with your company’s strategy.
Using advanced statistical techniques, we uncover hidden patterns, detect anomalies, test hypotheses, and validate assumptions with unstructured and raw information. This process transforms raw insights into actionable business awareness and identifies any missing elements needed to fully understand the business problem.
Raw numbers don’t reveal insights on their own—data scientists do. Investing in effective reporting is crucial for transforming complex information into clear, actionable perceptions that address business challenges and enhance decision-making. Whether through BI dashboards or Excel reports, the key is the compelling story that drives informed decisions.
Follow the golden rule: 'Use machine learning only when necessary.' However, for complex tasks like forecasting, natural language processing, fraud detection, and recommendation engines, machine learning is essential. This is where we develop a proof of concept and then deploy a full production system.
Manual efforts can provide quick understanding and test concepts, but to leverage data effectively and integrate it into daily business processes, automation is key. This includes automating the deployment of machine learning models and scheduling the delivery of statistical reports and datasets.
Industries We serve
Here are the main domains Dastellar focuses on
E-Commerce
Taking care of customer retention analysis, recommendation engines optimization, customer segmentation, prices optimization and supply chain prediction models.
Digital Marketing
Our goal is to dive deeper into marketing budget optimization, communication channels analysis, search engine optimization, sentiment analysis and customer demand forecasting.
Finance
From developing data pipelines that enable real-time analytics, following customer data management, risk analytics and personalized services to algorithmic tradings.
Energy & Utilities
We are improving E&U sector in the areas of demand forecasting, predictive maintenance, fraud/risk prevention and operations optimization, as well as customer churn prediction.
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Knowledge Hub
Explore our Knowledge Hub for a blend of insightful blog posts and detailed case studies, offering valuable perspectives and in-depth analysis on key topics.
Technologies We Use
Data Engineering and Data Science technical stack we master
Frequently Asked Questions
Most frequent questions and answers
Your next steps depend on your business's current stage. We step in when:
1. Your company is growing, and you need to start generating and collecting data to drive development.
2. You have collected data, but it’s not yet optimized for full potential or production use.
3. You have a data platform with pipelines and management systems that are inefficient, wasting time and resources, and failing to scale for strategic growth.
We view Data Science as more than just building machine learning models. It encompasses diverse problem-solving methods tailored to meet your company's specific objectives. Unlock the full potential of Data Science by aligning the right data with clearly defined problems, leveraging high-level experts who excel in iterative approaches.
It all depends on what your benchmark and your own defenition of "benefit" is, but skipping marketing "you've already benefited if you start thinking about using the data", we would say "one iteration".
One iteration means a single process step, the result of which is directly converted into actionable deliverables and which usually takes from 1 to 3 weeks.
An example of iteration in Data Science might be a descriptive report on missing sales opportunities in the last month, and in Data Engineering, a simple REST API prototype.
The 'Free Iteration Work Model' highlights how Dastellar stands out from the competition. We start our collaboration with a comprehensive planning phase, breaking down the execution into clear, manageable steps called iterations.
What is an Iteration?
The first iteration is entirely free, providing an opportunity to evaluate our mutual satisfaction with the process and results. If you're pleased with the outcomes, we can proceed to a long-term partnership, ensuring alignment and value from the outset.
What is an Iteration?
The first iteration is entirely free, providing an opportunity to evaluate our mutual satisfaction with the process and results. If you're pleased with the outcomes, we can proceed to a long-term partnership, ensuring alignment and value from the outset.
Contact Us
How can data drive growth and improve your business performance?
Contact us so we can start thinking about it together
Vladyslav Didukh
Founder
We adopt problem-oriented strategies focused on close communication, effective collaboration, and synergy building with our partners.
- [email protected]
- +48 735 765 068
- Aleja Jana Pawła II 27, 00-867, Warsaw
Contact Us
How can data drive growth and improve your business performance?
Contact us so we can start thinking about it together
