AI & Big Data in Retail

Artificial intelligence and big data solutions for retail businesses

AI in Retail

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.
  • Predictive analytics

    Become closer to your customers by using customized, real-time reporting dashboards. Leveraging the power of machine learning and artificial intelligence, Intellias will help you deliver seamless shopping experience with data mining, behavioral analytics, decision support, and KPI tracking.

    Predictive analytics

    Become closer to your customers by using customized, real-time reporting dashboards. Leveraging the power of machine learning and artificial intelligence, Intellias will help you deliver seamless shopping experience with data mining, behavioral analytics, decision support, and KPI tracking.

  • Recommendation system

    Track customers’ behavior and study their needs with AI and ML technologies to create a personalized offering with loyalty, prepaid, and gift rewards cards. We will help you anticipate shoppers’ demands for higher engagement and, as a result, revenues.

    Recommendation system

    Track customers’ behavior and study their needs with AI and ML technologies to create a personalized offering with loyalty, prepaid, and gift rewards cards. We will help you anticipate shoppers’ demands for higher engagement and, as a result, revenues.

  • Sales forecasting

    Without a solid idea of what your future sales are going to be, you can’t manage your inventory or cash flow. The purpose of sales forecasting is to provide information that you can use to make intelligent business decisions.

    Sales forecasting

    Without a solid idea of what your future sales are going to be, you can’t manage your inventory or cash flow. The purpose of sales forecasting is to provide information that you can use to make intelligent business decisions.

  • Churn analysis

    Customer churn analysis refers to the customer attrition rate in a company. It is cheaper to keep an existing customer than to attract a new one. Churn analysis will help you understand why customers stop buying from you and take timely measures to prevent them from switching to competitors.

    Churn analysis

    Customer churn analysis refers to the customer attrition rate in a company. It is cheaper to keep an existing customer than to attract a new one. Churn analysis will help you understand why customers stop buying from you and take timely measures to prevent them from switching to competitors.

  • Chatbots

    AI-powered chatbots enable retailers to efficiently engage customers and handle huge query loads simultaneously, reducing costs on the human workforce. Configuring bots to answer questions and provide suggestions promptly, brands will pave the way for advanced customer support and loyalty.

    Chatbots

    AI-powered chatbots enable retailers to efficiently engage customers and handle huge query loads simultaneously, reducing costs on the human workforce. Configuring bots to answer questions and provide suggestions promptly, brands will pave the way for advanced customer support and loyalty.

  • Anomaly detection

    Intellias engineers use the latest techniques to identify anomalies in real-time and alert on them immediately. We will help you track KPIs at a micro level, protect managers from irrelevant information, and stay ahead of the curve investing resources in the right place.

    Anomaly detection

    Intellias engineers use the latest techniques to identify anomalies in real-time and alert on them immediately. We will help you track KPIs at a micro level, protect managers from irrelevant information, and stay ahead of the curve investing resources in the right place.

  • Fraud Detection

    Prevent losses and gain customer trust with retail fraud detection. We will execute machine learning algorithms to detect fraudulent activities on your integrated payment systems, originating from people masquerading as customers, store associates, or external criminals and hackers.

    Fraud Detection

    Prevent losses and gain customer trust with retail fraud detection. We will execute machine learning algorithms to detect fraudulent activities on your integrated payment systems, originating from people masquerading as customers, store associates, or external criminals and hackers.

Partners and clients

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

Big Data and Artificial Intelligence in Retail are Competitive Necessities

Get ready for the new era of intelligent retail with the right team

Most e-commerce companies are yet to harness the full power of AI. 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.

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

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.

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