Retail

dotData Transforms Retail With Omnichannel AI

Retailers must accelerate e-commerce and digital businesses using AI and adapt to a new normal.

Maximize Omnichannel Retail with AI

AI enables retailers to implement a multichannel sales strategy to increase customer loyalty, improve brand recall and encourage repeat purchases resulting in more revenue. AI can accelerate the supply chain transformation that is required for e-commerce operations to bring increased agility.

How dotData Helps Retailers

dotData’s ability to seamlessly handle large data sets and uncover the patterns hidden in complex data relationships allows retailers to build AI models in record time. Whether it’s optimized coupon distribution, price sensitivity modeling, demand, and inventory, or cross-selling, dotData allows retailers to respond to rapidly changing market conditions.

How dotData Transforms Retail

Consumer Profiling for Product Planning

Overview

Create deeper consumer purchase profiles for seasonal and/or new products, based on purchase histories and behaviors beyond simple consumer attributes. Predict which customers are likely to purchase specific products – even before they launch.

How dotData Helps

Discover deeper insights on consumer purchases by analyzing purchase history, customer and product attributes, customer preferences, and other information related directly or indirectly to product purchases.

Business Impact

New product design and sales promotion plan by using AI-derived insights.

Demand Forecasting for Inventory Planning

Overview

Develop highly accurate demand forecasting models by utilizing weather data, regional characteristics, sales promotion information, etc., in addition to actual sales and order/delivery records. Automate product ordering operations, optimize inventory level, and reduce out-of-stock risk by integrating accurate forecasting with ordering systems.

How dotData Helps

Develop accurate demand forecasting at various levels (e.g. SKU, product category, daily, weekly, etc.) and maintain model accuracy with automated model retraining. With highly accurate and granular demand forecasting, retailers can reinforce and optimize their supply chains.

Business Impact

Automate product ordering operations, optimize inventory level, and reduce out-of-stock risk.

Increase Store Visits and Recurrent Purchases

Overview

Predict the degree to which each customer is likely to visit a store and recurrent purchases through sales promotions. Automatically analyze common characteristics of customers by promotion response type to enable a data-driven promotion strategy.

How dotData Helps

Analyze all customer information, such as behavior logs, attributes, preferences in conjunction with other data sources such as geographical characteristics and build deeper hypotheses of store visits and recurrent purchases.

Business Impact

Increase customer loyalty, store visits, and recurrent purchases – eventually increasing the store sales.

Customer Sentiment Analysis

Overview

Relying purely on focus groups to understand customer sentiment is no longer sufficient, but mining consumer sentiments on social media and web portals can be costly and time-consuming. Leverage the power of AI to automate the process.

How dotData Helps

Leverage your historical data and combine it with data from focus groups as well as website data to build more accurate models of customer sentiment and to forecast special campaigns and offers.

Business Impact

Identify customer loyalty trends, model predicted outcomes to new product introductions, and to price adjustments by mining your in-house and external data to create accurate forecast models of consumer behavior.

Price Modeling

Overview

Take price planning beyond simple cost and revenue calculation to identify key factors that influence price sensitivity to create the best possible experience for consumers while maximizing your opportunity for revenue.

How dotData Helps

Take advantage of both in-house data like transaction histories as well as readily available market data to build more accurate pricing models. Integrate pricing predictors into your inventory systems to modify pricing in response to market conditions quickly.

Business Impact

Strike the perfect balance between maximizing revenue and providing customers with a high degree of satisfaction by analyzing past sales data to create ideal pricing scenarios.

dotData meets your needs

dotData Cloud

Take your AI experiments to the next level without worrying about infrastructure with the most powerful Cloud-based No-Code AI solution.

dotData Enterprise

Develop and deploy predictive analytics models in record time with the power of Automated Feature Engineering and No-Code AI Development.

Feature Factory

Build better ML models with better features. Augment your hand-built features with Automated Feature Engineering fully integrated in your Python Environment.

dotData Stream

Deploy models in real-time applications quickly and seamlessly with the power and speed of dotData Stream.

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