Why should you care?
In 21st century the companies best utilizing their retail data win.
Customers, channels, products, sales reps, global data, marketing data - how can we fully capture the intricacies and extract maximum value from such systems?
Our answer is interconnected/contextual data analytics. We utilize deep learning on graphs with experience in retail analytics to gain deep insights on all aspects of retail operations, from segmentations, recommendations, bundling, to pricing, marketing planning, SKU optimization, etc..
Choose between one-off projects or our enterprise contextual analytics software for real-time processing, integrated with your CRM/ERP systems.
Our Approach
Our 5-step research-based development framework for getting the maximum value out of your interconnected data.
The business case
Constructing graph data
Graph neural networks for connected data analytics
Design of improvement plans
Enterprise integration and automation
The approach is adapted to each use case and each industry, based on initial data.
1. The Business Case
The most importantpart of any data analytics is the business impact. We typically begin theproject by performing a comprehensive analysis of as-is state, goals, KPIs,etc., to design the project implementation and specialization of our solutionswhich solve actual business problems.
Goal etting
Specific, measureable KPIs
Software design and adaptation
2. Constructing Graph Data
In most companies,data on retail operations is structured in the form of relational databases –tables with connections between them. In the first step we identify the keytables for analytics and help you prepare and edit them for downstreamprocessing. We turn the tabular data into graphs, to run analytics on.
3. Graph Neural Networksfor Connected Data Analytics
Graph data can be efficiently encoded andanalysed through deep learning on graphs. Such an approach allows us to fullyutilize the interconnected graph data to perform analytics not only onindividual tables, but on entire databases. We develop proprietary, highlyspecialized and performant algorithms for graph analytics and graph machinelearning, specialized to retail operations.
4. Design of Improvement Plans
Creating a “digital twin” of retailoperations enables scenario forecasting and complex, AI-supported if-then andother analyses. We perform simulations of different improvement measures andextract those with the highest impact for the identified KPIs. In contrast to thestandard trial-and-error approach, our forecasting capabilities support you ininformed decision-making based on real retail data.
5. Enterprise Integration and Automation
Integration solutionsin all parts of the data analytics pipeline:
Input data integration
Data engineering and preprocessing
Graph encoding
Data processing
Backend integration with HW providers
Reports and business application integration
MLOps
How we can help
Our team of experts specialize in enabling advanced analytics on interconnected data, offering end-to-end support including business case identification, development of tailored algorithms, and comprehensive training to empower your organization with cutting-edge solutions.
See our Solutions
Unlock the power of interconnected data analytics
Predict
Analyse trends and precedict movements from data.
Understand
Perform contextual segmentation and structural analytics.
Operate
Unlock interconnected organizational data to drive performance.
Build
Use analytics of interconnected data to build better products.
Grounded in decades of retail optimization experience
Our team of experts have decades of experience on numerous executed projects in retail optimization, go-to-market strategies, pricing, marketing and related areas. With our proprietary software modules, we are combining the industry-leading deep learning on interconnected data with operational experience in retail operations, bringing together the best of both worlds to achieve maximum impact for you.
Contact us for a Demo
Try the software on your demo data or on our pre-made demo data from realistic retail operations.