Retail & CPG
Increase marketing ROI, optimize your supply chain, increase sales and improve the customer experience by leveraging customer and contextual data
Retail and consumer packaged goods share a similar set of challenges – and solutions.
At Neal Analytics, we help businesses understand their customers, optimize operations, and improve business performance. Our Intelligent Retail and CPG solutions leverage historical transaction, contextual, and consumer data with machine learning and advanced analytics to create actionable insights for your team.
The result? Our custom-built solutions leverage the latest technology to prepare your organization for the future, solve unique business challenges, and delight customers.
Your business, transformed
We leverage our industry solution accelerators, cloud platform expertise, and digital consulting services to help our customers accelerate their business transformation journey while minimizing risk and maximizing value.
Neal Analytics solutions are designed to support one, or several, of the following objectives:
Featured customer stories
Advanced demand forecasting
Forecast demand more accurately and gain insight into which factors are driving demand. Advanced demand forecasting from Neal Analytics helps provide a clear picture of where demand is heading, enabling business decision-makers with the information they need to optimize operations and improve performance.
Identify, understand and engage your customers at any point of the buyer’s journey with a unified data platform. CustomerIQ is built to run on Microsoft Dynamics 365 Customer Insights, but it can integrate with any CDP. This solution leverages our advanced machine learning models to provide a 360° view of your customer so that you can improve personalization, calculate lifetime value, segment marketing, and enhance their experience.
Pricing products is a challenging part of any retail organization’s business. Assigning goods prices that are competitive enough to drive sales with a high enough margin to be profitable is a balancing act that requires constant attention to market trends and an organization’s competitors. Price optimization from Neal Analytics leverages AI and Machine Learning to analyze historical pricing, competitor pricing, and how price point impacts the rate of sale to determine optimal pricing for goods.
Stay competitive by personalizing the customer experience in-store and online with our multifaceted product recommendation engine. This solution is customized to your consumers, based on preferences and historical purchases, to help your business strengthen personalized marketing campaigns, provide tailored customer recommendations, and identify popular consumer baskets.
SKU assortment optimization
Get the right product on every shelf to meet local customer needs and preferences with our SKU assortment optimization solution. By analyzing historical sales data, combined with contextual data such as store attributes and location-based data, you’ll gain machine learning-powered insights to personalize and optimize your product assortment for each outlet based on local needs, demographics, purchasing habits, and more.
StockView for retail
Empty shelves mean lost sales. When shelves remain out of stock of popular items, it is unlikely customers will ask for help to buy the item. Even if they do, it demonstrates an area the customer experience can be improved – no one likes an unnecessary wait. StockView from Neal Analytics leverages Microsoft’s Azure Stack Edge and the Azure platform to enable organizations, such as retail outlets and hospitals, to automatically detect when store shelves or stockrooms run out of items, enabling employees to restock them rapidly.
StockView for inventory
Retail organizations strive to maintain a balance when it comes to inventory levels. Too much inventory and the company can incur extra cost holding onto it. Too little inventory and they may sell out and miss out on potential revenue. Both can have a negative impact on business growth, and insufficient inventory in particular can negatively impair customer experiences.
Using Vision AI in inventory or stock rooms can provide real-time visibility into inventory levels, enabling more efficient inventory management and reordering.
Missed scan detection
Retailers frequently face financial losses due to shrinkage. One common cause of shrinkage is mistakes that are made at Point-of-Sales (POS), such as goods that were not properly scanned or “sweethearting”, where an employee scans a lesser-priced item instead of the item being purchased.
Missed scan detection can help reduce mistakes at a POS by leveraging store camera systems and Vision AI to automatically detect and track products brought to a Point-of-Sale, ensuring each is correctly scanned.
Trade promotion optimization
Leverage machine learning to measure, manage, and optimize your trade promotion spend. Our trade promotion optimization approach is designed to help companies gain insight from historical promotion activities to understand what promotions work, and how you can optimize future promotions for maximum ROI.
SKU Assortment Optimization
Optimize your inventory based on local customer needs and preferences with our SKU Max solution. By processing millions of SKUs and segmenting sales data, you’ll gain machine learning-powered insights to personalize and scale your product assortment for each outlet based on local needs, demographics, purchasing habits, and more.