AI in Retail and Distribution

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Intellias client
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Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client

How we help business to adopt AI

Discovery workshop Review AI capabilities and define priorities and success factors for your specific case Quick win pilot imple-mentation Test your hypothesis in a fast and cost-efficient way Adoption roadmap Develop an efficient transformation journey based on key business priorities Security architecture Make sure your business data and your customers’ data are safe Integration strategy Define support needed by each node of your enterprise ecosystem Data strategy Define required data sources and data mining, preparation, and refinement activities
Discovery workshop

Review AI capabilities and define prioritie sand success factors for your specific case

Data strategy

Define required retail big data sources and data mining, preparation, and refinement activities

Quick win pilot implementation

Test your hypothesis in a fast and cost-efficient way

Integration strategy

Define support needed by each node of your enterprise ecosystem

Adoption roadmap

Develop an efficient transformation journey based on key business priorities

Security architecture

Make sure your business data and your customers’ data are safe

AI strategy implementation workflow

Define Structure Validate Evaluate
  • Define business objectives and success indicators
  • Mine and transform data
  • Prepare for analytical modeling
  • Set up AI and project technical infrastructure
  • Structure and refine data
  • Develop, train, and tune analytical models
  • Validate and adjust AI models based on real data
  • Roll out and incorporate AI into existing processes
  • Visualize results
  • Review success indicators and evaluate the project

Define

  • Define business objectives and success indicators
  • Mine and transform data
  • Prepare for analytical modeling

Structure

  • Set up AI and project technical infrastructure
  • Structure and refine data
  • Develop, train, and tune analytical models

Validate

  • Validate and adjust AI models based on real data
  • Roll out and incorporate AI into existing processes

Evaluate

  • Visualize results
  • Review success indicators and evaluate the project

AI in Retail

Artificial intelligence in retail is the hottest and the most promising trend that powers nearly all industry segments and domains. The technology helps retailers to reduce costs and create a personalized experience for shoppers. Driving meaningful conclusions from huge data chunks and delivering customized offers with the help of online assistants, in-store chatbots, or web-based shops, AI in retail help brands become more customer-centric.

Partners and clientsView all case studies

A cloud-based intelligent learning platform

Our client, Brainstorm, needed an agile development team to build a new learning platform that teaches people how to use and adopt software. Though, they lacked in-house development capabilities. Intellias augment the staffing of Brainstorm, working on front and backend development. Initially, brought two members to the team, which has then steadily grown to 65 members over 6 years.

Derek Adams, CTO at Brainstorm

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AI & NLP-driven language learning app

Alphary is an educational technology startup from Austria that delivers an AI-based mobile app to redefine the language learning experience. Their solution is built on the most recent findings in didactics and Natural Language Processing (NLP). Our partnership has resulted in the Alphary app being recognized by the world’s most prestigious publishing houses — including Oxford, Cambridge, and Macmillan — for its unique gamification techniques and its AI assistant that provides automated feedback on students’ progress using the renowned Leitner methodology.

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Retail Scheduling Software to Personalize Travel Planning

Intellias is helping a retail scheduling and travel booking provider extend its market coverage globally. To scale their cloud-based platform and cover new travel destinations, our client needed to strengthen their engineering team with a proven booking system development provider. Intellias took on the responsibility for the technical side of their product to support its coverage of CEE and Nordic countries. This initial engagement with our client has now evolved into a solid, on-going collaboration.

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Innovative Digital Wallet for Mobile Cashless Payments

Intellias is integrating a digital wallet with the world’s largest banks and payment networks to promote the Europe-wide adoption of the QR technology. We have been working on an integrated QR code payment system to benefit banks, e-wallets, payment platforms, retailers, and consumers by allowing fast and secure transactions via a smartphone or smart watch. We are also involved in the development of the Clearing and Settlement system integrated with the largest banks of the DACH region.

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All-in-One Retail Service Platform to Enhance Customer Experience

For our client, a world-renowned car manufacturer, we have developed an online car retail and servicing platform to ease the buying and maintenance experience for car owners. Partnering with Intellias has marked a new milestone for our client in achieving their goal of providing customers with an exceptional level of service through a vast network of authorized dealerships. We’ve refined the customer management system to create a unique one-stop shop for maintenance and repairs.

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Corporate Gift-Giving Platform for Employee Recognition

Snappy Gifts is an innovative provider of team recognition programs used by 200+ corporations worldwide. The company was seeking to quickly find skilled tech workforce to address their rapidly growing engineering needs. Intellias facilitates a seamless collaboration with Snappy Gifts, delivering them an outstanding staff augmentation experience. Internal stakeholders handle project management, but Intellias delivery manager helps resolve issues and define processes.

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Big data and artificial intelligence in retail are competitive necessities

Get ready for the new era of intelligent retail

Most eCommerce companies are yet to harness the full power of advanced technologies. Why? Because they lack AI and ML in-house talent. That’s exactly where Intellias steps in. Our data science team can help you implement innovative big data use cases in retail and develop a ‘smarter’ vision for your new initiatives.


We mesh proven software development best practices with new-age technologies to help our clients deploy robust, scalable and efficient solutions for sales forecasting, supply chain and inventory management, product recommendations, fraud prediction and much more. Let’s explore AI in retail together and incorporate ‘intelligence’ into your day-to-day business operations.

Strengthen your data management capabilities

Having a mature data ecosystem and data governance process is key to deploying predictive analytics in retail and advanced ML-powered products. Oftentimes, this requires companies to undergo massive infrastructure transformations and build a new pipeline for collecting, cleansing and consolidating all the relevant data.


Build a strong data governance program from the ground up with Intellias. We’ll help you break current data silos and build new data structures to support your analytics program. Choose the best strategies for consolidating data in a secure manner and develop robust supporting infrastructure for transforming data lakes into abundant business intelligence.

Explore viable big data use cases in retail

Big data and AI can be applied to multiple areas of interest within the retail value chain – customer experience management, customer support, payments and fraud, supply chain management, logistics, and delivery. Our specialists can analyze your business and determine which use cases will generate the best ROI.


We can help you discern where you can gain the most traction post-adoption and how new tech can drive profitability for your firm. Big data in retail has a lot of applications, but not every one of them will be viable for your business. Avoid pursuing the wrong goals by partnering with an expert AI team who knows what’s working when the best.

Tell us about your project

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