dotData Transforms
Retail with AI

dotData helps businesses create detailed consumer purchase profiles by analyzing purchase history, customer attributes, product preferences, and related data. This allows companies to predict which customers are likely to buy specific products, even before they launch. By leveraging these AI-derived insights, businesses can improve new product design and develop more effective sales promotion strategies, ultimately boosting sales and customer engagement.

dotData enables businesses to develop highly accurate demand forecasting models by incorporating factors like weather data, regional characteristics, and sales promotion information, alongside actual sales and order records. By automating product ordering operations and integrating precise forecasts with ordering systems, companies can optimize inventory levels and reduce the risk of stockouts. With automated model retraining, retailers can maintain forecasting accuracy at various levels, improving supply chain efficiency and overall business performance.

dotData helps businesses predict the likelihood of each customer visiting a store and making repeat purchases through sales promotions. By automatically analyzing customer behavior, attributes, preferences, and geographical data, dotData uncovers common characteristics of customers based on their response to promotions. This data-driven approach enables businesses to craft more effective promotion strategies, ultimately increasing customer loyalty, store visits, and repeat purchases, which in turn boosts overall store sales.

Relying solely on focus groups to gauge customer sentiment is no longer enough, and mining consumer sentiments from social media and web portals can be both costly and time-consuming. dotData leverages AI to automate this process by combining historical data, focus group insights, and website data to build more accurate models of customer sentiment. This allows businesses to forecast the impact of special campaigns, new product introductions, and price adjustments. By mining both internal and external data, companies can identify customer loyalty trends and create precise forecast models to better understand consumer behavior.

dotData helps businesses take price planning beyond basic cost and revenue calculations by identifying key factors that influence price sensitivity, allowing companies to create the best possible consumer experience while maximizing revenue opportunities. By leveraging in-house data, such as transaction histories, along with external market data, dotData builds more accurate pricing models. These models can be integrated into inventory systems, enabling businesses to quickly adjust prices in response to market conditions. This approach strikes the perfect balance between maximizing revenue and enhancing customer satisfaction by creating optimal pricing scenarios based on past sales data.