Retail & e-commerce
Which products will sell next month, what a customer is really looking for, how to answer a question about an order: AI can help with each of these using a retailer's sales, inventory, product and customer data. It has to work with the store's existing systems, protect customer data and keep up with seasons and campaigns.
Challenges
Customer data stays protected
Purchase histories and personal data have to be handled under data protection rules, with access limited to the people and systems that need it.
Systems work with what is already in place
AI has to connect to the store, inventory, order and customer systems already in use, and show its results where teams already work.
Results keep up with change
Seasons, campaigns and new products change demand and customer behavior quickly. Models have to be checked and updated as that happens.
Typical problems
Demand forecasting and inventory planning
Forecasting demand by product, store and channel, and planning inventory and replenishment from it.
Product search and recommendations
Search that understands how customers describe products, including in Turkish, and recommendations based on what they browse and buy.
Customer service
Assistants that answer questions about orders, returns and products, and pass complex cases to a support representative.
Catalog and product content
Preparing and checking product descriptions, attributes and categories from images and supplier data.
Pricing and campaigns
Measuring how price changes and campaigns affect sales, and supporting pricing decisions.
Our research areas
See all research areasFoundation models
Language models adapted to Turkish product names, descriptions and customer messages.
Multimodal understanding
Reading product images and text together to fill in attributes and improve search.
Learning from limited data
Forecasting demand for new products and slow sellers that have little sales history.
Controlled agents
Assistants that take actions in order and returns systems, with permission checks at every step.
Related services
All services- Time series forecastingForecasts of demand, load, capacity and sensor values that show how certain they are.
- Search & recommendation systemsSearch that copes with typos and everyday wording, and recommendations based on what people view and buy.
- AI assistantsAssistants that answer from your own documents and systems, with sources and access control.
- Multimodal AIApplications that combine text, images, audio and documents to complete one defined task.
- Decision optimizationSchedules, routes, prices and stock plans that respect your constraints and leave planners in control.
- AI agentsAI agents that carry out defined tasks in your systems, within permissions and approval steps you control.
Work with us
Work usually starts with one category, one channel or one process, and the system runs in your own environment. Once the results are measured, the scope can extend to other categories and channels.
R&D projects
For problems with no proven solution yet. We test approaches on your data and work toward a prototype in agreed milestones. At each milestone we tell you plainly what looks feasible and what doesn't.
Software development & consulting
For problems with known solutions. We build production software on proven methods, or advise your team on architecture, tooling and model choice.
Funded research
Joint R&D projects backed by national and international research funding, with industry and academic partners.
Corporate training
Training programs tailored to your team. Topics include everyday work with AI assistants, product development, integration and strategy.
Frequently asked questions
Where does our customer data stay?
In your own environment, on your servers or in the cloud account you choose. Personal data is processed in line with KVKK and, where relevant, GDPR.
Can AI work with our e-commerce platform and existing systems?
Usually, yes. It connects to the store, inventory and order systems you already use, and results appear where your teams already work.
Does it understand Turkish product names and customer messages?
Yes. Models are tested on Turkish product names, spelling variations and everyday customer language.
Where should a retailer start with AI?
Usually with a high-volume task whose results are easy to measure, such as demand forecasting for one category or the most common customer questions.
Who runs the system after handover?
Your own team. The system is handed over with its documentation, and we can also provide support after that if needed.
From our blog
All articles
How to build an AI chatbot with your own data
Connecting documents to a model is the easy part. Learn what a company chatbot needs: source rules, system connections, access control, handover, and testing.
Read article
You're not doing AI. You're doing integration.
Most AI projects depend on integration. Company data, business rules, human review, and workflow design turn a capable model into a useful product.
Read article
Don't hire a genius for a calculator's job: when not to use an LLM
An LLM can be the wrong tool for a narrow business task. Deterministic software may be faster, cheaper, and more reliable when the rules are clear.
Read article