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:

Maximize the value of your data

Get more customer insights and value from your data by unifying data sources across the shopper journey to create a holistic view of the customer

Build a real-time, sustainable supply chain

Create an agile, resilient, and sustainable supply chain by connecting data across your ecosystem to identify issues and optimize performance

Elevate the shopping experience

Transform the shopping experience through data analytics and new store technology to build stronger relationships with your customers across all touchpoints

Empower the store associate

Equip your workforce with solutions that improve customer satisfaction, productivity, and collaboration to reduce the burden on store associates and invest in their growth

Featured customer stories

Understanding market basket analysis and product recommendation

What is market basket analysis Market basket analysis or product recommendation is where you take inventory and point-of-sale data to...
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Major retail chain taps into vision AI to prevent shrinkage

Challenge Our customer, a major retail chain, wanted to determine how much shrinkage was attributed to Point-of-Sale (POS) losses. To...
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Role of AI in revolutionizing e-commerce

The one thing every business has in common -- no matter how big, how well known, or how new --...
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A major grocery chain optimizes order preparation and scheduling for curbside pickup

Challenges  A grocery chain struggled with high labor costs to maintain a good customer experience with its digital grocery ordering...
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An executive introduction to recommendation systems

Recommender systems represent an important area of data science and can be a great source of value creation.  Most of...
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Our solutions

financial data analytics

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.

CustomerIQ

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.

happy woman buying candy

Price optimization

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.

Product recommendation

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.

man and woman buying wine
man grocery shopping

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.

Immediately detect when an item is out of stock
Example environment in which stockview for inventory could operate

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.

Point of sale (POS) where Missed Scan Detection could operate
robotic process automation for finance solutions

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.

Resources