As customer preferences evolve and options for where – and how – they shop expand, you need a better understanding of who your customers are in order to stay competitive. SAS delivers solutions specifically designed for today's retailers, including technology that enables:
Merchandise assortment optimization. Efficiently rationalize assortments by becoming more customer-centric and less product-centric, using analytics and advanced clustering to understand a customer's path to purchase – and identify missed opportunities.
Merchandise financial planning. Predict customer demand by channel, and strategically plan key initiatives. Identify opportunities to improve performance, boost customer satisfaction and increase profitability.
Merchandise location planning. Understand the true omnichannel demand and use automated processes to predict sales by location, optimize inventory and support e-commerce fulfillment initiatives.
Size/pack optimization. Increase margin potential by understanding historical sales as well as the true size demand by forecasting quantities down to the store/size level. Recommend pack configurations to meet supply chain constraints and distribution costs.
Revenue optimization. Gain incremental margin by optimizing profitable price strategies over product life cycle. Use analytics to understand competitor pricing, shape demand and meet financial goals.
Connect to current merchandise planning, allocation or replenishment solutions. Enable an end-to-end retail intelligence solution. Transform your business to meet omnichannel strategies. With SAS, you can:
Improve key performance indicators. Optimize financial and assortment plans as well as allocation and replenishment strategies.
Enable better assortment planning. Analytics helps you efficiently rationalize assortments, accurately determine the optimal choice count and understand what items were not in the assortment to identify missed opportunities.
Localize and drive profitability. Statistically cluster locations based on selling patterns to work more efficiently and maximize revenue.
Boost in-stock service levels. Meet consumer size demand by making millions of item or location decisions accurately – even down to size.
Increase profit margins. Optimize profitable pricing strategies over the product life cycle.
Implement analytics. Visualize insights through graphs, charts and scorecards to make analytics more approachable to business end users.
For a supply chain to be effective, you need an omnichannel view of customer demand. Where and when will customers want to buy a product? How can you optimize inventory and keep customers happy? Our solutions can help you:
Solve small, medium or large-scale forecasting needs. With advanced analytics and proven what-if analysis, you can create a process to help answer your biggest business questions.
Gauge the impact of promotions. Consumer demand is affected by promotions – which, in turn, affects supply chain and inventory needs.
Optimize inventory. Keeping the right amount of stock in the right locations – from suppliers to warehouses to stores – helps you work efficiently and avoid excesses and markdowns in stock.
Trust the accuracy of your forecasts at scale and in detail. Collaborate internally and with suppliers to plan promotions and price changes. Avoid lost sales, out-of-stocks and missed opportunities that result from inaccurate forecasts. SAS enables you to:
Improve forecasting accuracy. A patented statistical forecasting engine uses advanced forecasting methods for modeling and forecasting all your products and selling locations.
Optimize inventory and reduce stockouts. With analytics you can drive product where it's needed most to meet customer demand, plus you can manage the overall costs of inventory.
Take the guesswork out of forecasting. An unmatched library of retail forecasting models take into account underlying trends, seasonality, promotions, inventory effects and more. The solution automatically selects the best fit model based on each individual time-series, enabling large-scale forecasting.
The new reality of retail is that customers are mobile and have more control over the purchasing process – which means retailers must rethink how to use customer data and insights from analytics to improve customer engagement. SAS solutions can help you:
Connect with customers in real time. Engage and respond to customer needs instantly with contextual listening and advanced data integration, enhancing the in-store and online shopping experience.
Sell more. Understand what actions drive transactions and customer value. Know which message or offer is most relevant to your customer – as well as the best way to deliver the message. Personalize interactions to drive the best performance, and integrate the experience across all customer touchpoints.
Spend less. With an omnichannel approach, you can spend less than your competitors on customer acquisition. Improve the outcome of your marketing interactions by using predictive modeling as the basis for comprehensive integrated marketing.
Priority, rules-based optimization isn't enough. You need true analytical optimization to improve the customer experience, boost response rates and lower campaign costs. With SAS, you can:
Gain a more complete view of your customers and business. No matter where your data comes from or where it resides – from legacy systems to Hadoop – you can easily access it. Our customer information mapping technology means your data is always available and accessible. And because you can integrate multiple data sources, including IoT, customer, merchandise and location information, you get a more robust understanding of your customer and business.
Create memorable interactions in real time. Advanced predictive analytics enables analytically driven scoring, segmentation and decision making based on historical and current interactions. When combined with context, you can create memorable interactions across channels in real time.
Work from one platform. Our end-to-end integrated solution suite helps you work faster and more efficiently.
Despite having security products and people in place, the retail industry is aggressively targeted by cybercriminals. Your network, from POS to HQ, can still be infiltrated – and the longer attackers are in your network, the more they learn about your business. With cybersecurity analytics from SAS, you can:
Detect suspicious network activity. Get a continuous, holistic picture of threats throughout your network, even those missed by your existing security investments. Analyze traffic flows enriched with business contextual information such as asset data, organizational data and threat feeds.
Deepen your network visibility, even as your network grows. Keep pace with your continually expanding network surface area and track behavior with analytics that evaluate device relationships and peer group behaviors.
Increase the efficiency of your security operations center. Enable security analysts and loss prevention teams to focus on information security with embedded analytics and real-time data contextualization.
When it comes to something as important as your network security, you need the industry's most advanced analytics to help you make informed decisions – and take the best action. With SAS, you're getting:
More than 40 years of experience. SAS has long been a pioneer in operational analytics. We're one of the few providers that can help you fully implement security analytics.
Data quality at the core of everything. Data quality isn't a nice-to-have when it comes to cybersecurity. It's a must. Only SAS delivers the breadth and depth of knowledge forged from decades of data quality experience.
Unmatched data processing capabilities. SAS uses a variety of technologies, including in-stream data enrichment and in-memory cyberanalytics to deliver a faster, smarter analysis of your network traffic.
Data management solutions from SAS help you put the right processes in place to be sure you're working with high-quality, accurate data – even if it comes from a variety of sources. And with data integration, you can break down silos and have a wealth of data at your disposal. You can also:
Boost productivity. Get more mileage from existing resources and increase productivity by working from a single point of control.
Unlock customer insights. Achieve a more complete view of your customer, and integrate those insights with merchandise data, to drive relevant communication and merchandising strategies.
Create data standards and stewardship. Standardize and enhance customer, demographic, merchandise and location attribution to guide end-to-end retail processes.
Share more of the workload. An intuitive interface means you can entrust data to business users, giving them more control so you can get back to your own tasks at hand.
Be confident your data is ready for action. Auditing tools that monitor processing and source data lineage let you know your data is primed and prepared for the next step.
As the industry leader in analytics, SAS understands that a solid data management strategy supports everything else. Analysts consistently give our solutions high rankings. Plus, only SAS provides:
Truly integrated technology. Instead of cobbling together bits and pieces to create a patchwork solution, we've built our data management technology from the ground up. It's seamless. Reliable. And ready to take on your biggest initiatives.
An easy, fast way to access big data. Turn big data into an integral part of your analytics strategy by making it fast and easy to access.
High-quality data from start to finish. With information constantly flowing in and out of your business, you need repeatable processes so you can build and maintain high-quality data.
When retailers have a better understanding of who their customers are and what their customers need, everyone wins. That's why Catalina, a digital media company, turned to SAS to help it process large amounts of information without constraints.
SAS® Grid Manager helps you create a managed, shared environment for efficiently processing large volumes of data. It enables large businesses to scale their data and still get quick responses – which, in turn, helps analysts dig deeper for key insights. The end result? Better business decisions, and happier customers.
Create a data strategy that delivers a 360-degree view of customers.
Learn the five essential components of a data strategy.