AMAI is a competent partner for AI integration
AI in retail
New challenges in retail: What customers expect today and how AI is helping
Whether it's stationary retail or digital marketplaces, your customers today expect more service, better relevance and shorter delivery times. At the same time, costs and competition are increasing.
With AI, AMAI shows retailers ways to make product ranges more sales-boosting, automate processes and impress with personalized offers — efficiently, data-based and tailored to their business model.
Real Results
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Real Results
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Develop potential: How AI creates real added value in retail
From dynamic pricing to automated personalization: AI offers a wide range of opportunities to improve customer processes, individualize offers and use resources in a more targeted manner. Especially in a highly data-driven retail environment, artificial intelligence shows its strengths both online and at the point of sale.
AI in retail creates measurable advantage:
- Automated product range recommendation & promotion planning
- Real-time price calculation & dynamic pricing
- Personalized referral marketing
- Automated customer service processes (e.g. chatbots, returns)
- Sales, returns and inventory optimization forecasts
Real Results
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Real Results
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AI expertise for retail: Industry-related solutions without detours
We develop AI solutions that are based on your customer processes and sales channels, whether stationary, digital or hybrid. In doing so, we bring comprehensive AI expertise that can be quickly transferred to your requirements.
That is why AMAI is the ideal partner for companies from data-intensive industries:
- Tailored AI solutions for efficient product range logic, dynamic pricing strategies & personalized customer dialogue
- Flexible implementation (cloud, API, edge)
- Understanding of business impact, KPIs & data-based decision logic
- Agile implementation with proof of concepts and pilot projects
Use cases: Examples of how you can use AI in your company
Theft detection
Live video surveillance footage can be analyzed in real time to identify predefined “suspicious” behavior. When something is discovered, shop owners are alerted via a connected app.
retail sales bot
Use bots on your sales floor to answer customer questions and promote products.
Referral service
Recommendation systems use customer data to retain and improve customers with personalized recommendations via email, website search, or other channels.
Identifying fraud patterns
Use machine learning to identify fraudulent and abnormal financial behavior, and/or use AI to improve overall compliance issues and workflows.
Image tagging to improve product recommendation
Use machine vision to automatically tag your images to help users find relevant products.
Cashier recognition & self-checkout
Recognizes goods via camera, speeds up the payment process and reduces operating costs. This improves the customer experience and increases area productivity.
production planning
With the help of a model, hidden patterns in historical sales data can be identified, such as seasonal demands, the behavior of subsidiaries, or buying behavior when introducing new products. This allows production to be planned accurately.
Inventory forecasting
Use machine learning to take your inventory and supply chain optimization to the next level
Shelf inspection/analysis
Use videos, images, or robots on the sales floor to check and analyze your shelf space usage. Identify and manage shortages or sub-optimal use of shelf space.
Visual product recognition in the store
Computer Vision recognizes products via camera, e.g. at self-service checkouts, for theft prevention or inventory automation.
Our process model: This is how we move your AI initiative forward.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
AI Strategy
Right from the start: Your AI Strategy with substance
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
AI Integration
From code to production systems: We're bringing AI to the streets
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Case studies: Successfully implemented AI projects
Real Results
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Real Results
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AMAI — Your Guide to AI Expertise from Strategy to Code.
About AMAI: What sets us apart!
We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
Jürgen Stumpp
Managing Director, AMAI GmbH
Tools & partners
Our areas of expertise
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI
15
+
years of experience in AI development
50
+
realized AI projects
100
%
specializing in AI projects
