Ally Labs: Data Science Applied
Ally Labs was born out of recurring requests during consulting mandates – many companies have the same challenges over and over again.
The term “labs” shows that we develop and implement solutions directly at the customer’s premises.
Many companies see the potential of data science, but often do not have the resources or know-how to exploit it.
We bring the necessary expertise and the right tools directly to you so that we can exploit this potential together.
Our mission: Making data science accessible for companies.
Data Science (as a Service)
Many companies face the challenge of building specialized data science teams to develop data-driven business models. This can be expensive and time-consuming. Ally Labs offers an alternative: we bring the know-how, practical experience and technology you need to make profitable use of your data without you having to build up your own capacities.
We offer comprehensive analyses that go far beyond simple data evaluations.
We identify patterns and trends in your data that are often overlooked.
These insights help you make strategic decisions that drive your business forward and open up new business opportunities.
Sometimes a simple statistical model is enough.
But often a large number of models have to be reconciled in order to produce good forecasts.
Then you need comprehensible decision trees that can be understood by specialist departments so that you don’t end up with a magic black box.
If you have data, you can teach machines to make decisions based on it.
A popular model for this is time series analysis, for example.
This method can be used to predict future developments from historical trend data, allowing companies to react to seasonal patterns at an early stage.
For example, if you know the influence of weather data on your sales, all you need is a weather report and the appropriate algorithm.
Why Data Science as a Service?
Data is the key to success, but many companies lack the know-how to use it effectively.
With Data Science as a Service (DSaaS), we offer you the option of optimally analyzing existing data without having to set up your own data science department. Our service enables you to make data-based decisions that increase your company’s success. We develop and implement the processes and systems together with your specialist department so that you remain independent.
Data integration
Linked dataOptimal results
We link millions of data points and analyze extensive data sets to enable precise predictions and optimal results.
Machine learning
Intelligent algorithmsImprove processes
Our algorithms are based on machine learning.
Use advanced technologies to optimize your processes and make precise predictions.
Adaptability
Flexible & scalableCustomized solutions
Every company is unique.Together, we adapt the models to the specific needs of your company to ensure optimal results.
Increased efficiency
Automated processesIncrease productivity
Increase the efficiency of your company.
Automated processes reduce manual effort and significantly increase productivity in your teams.
No restrictions
Scalable without limitsMaximum power
The sky is the limit.
Nowadays, large amounts of data and complex calculations are no longer a limitation.
Fast onboarding
Ready - Set - GoReady to go immediately
Fast onboarding and immediate start of the prototype phase so that we can achieve the goal in an agile manner together with your specialist department.
Old ERP systems with modern inventory management?
In ERP and warehouse management systems, there is almost always a function for minimum and maximum stock levels at item level. These values can also be calculated dynamically and updated regularly. This adds smart functions to existing systems.
Are you a supplier and want to analyze your dealers’ data?
There are often interfaces between supplier and retailer. If retailers provide you with their stocks and sales volumes, for example, you can generate valuable information from this. You know more quickly what is happening in the target market.
Use the size key correctly?
Do you need to place orders with your supplier and are wondering what the right size distribution is? This problem can be solved with data science in order to identify and apply the right keys at e.g. brand and product group level. Ordering closer to demand means less margin loss in the final sale.
The solution in no time!
Our approach is practical and agile. We understand the challenges faced by specialist departments and offer solutions that are a perfect fit for your evolutionary stage. The typical procedure is as follows:
1.
DEFINITION
What exactly do we include in the project scope?
We define the goals and requirements together.
2.
DATA
We work with you to identify the relevant data sources.
3.
ANALYSIS
We analyze the data and provide you with clear, actionable insights.
4.
DEVELOPMENT
We work with you to develop a model to find a sustainable solution to the respective requirement.
We start immediately with prototypes that can already be used in day-to-day business.
5.
IMPLEMENTATION
We support you in integrating the solutions into your business processes and also train your employees.
6.
MONITORING
We ensure that the implemented solutions are successful in the long term and develop them further if required.
Who benefits from working with us?
Our clients are growth-oriented companies, particularly in the e-commerce sector.
They are faced with the challenge of scaling their processes and making them more efficient.
Regardless of industry and company size, we specifically identify pain points and untapped potential to enable sustainable growth and efficiency improvements.
