In the current competitive retail environment, data is not simply a result of doing business — it is the most important asset driving growth, efficiency and customer loyalty. Each transaction, every customer visit, and every inventory transaction generates data. The question is, how do retailers convert all available data into more informed decisions? The answer is Retail Business Intelligence (Retail BI).
Understanding Retail Business Intelligence Retail Business Intelligence is when retailers analyze data, provide visualization tools and drive insights with AI to allow retailers to make informed decisions across operations, marketing, inventory, and customer experience. Retail BI pulls from several sources like point of sale systems, supply chain data, customer feedback, e-commerce portals, and loyalty programs and presents that data in actionable insights.
Retail BI allows businesses to proactively anticipate trends instead of reacting to trends after they occur. It is the bridge between unprocessed data and meaningful action, and supports retailers to be agile in a fast-changing environment.
Changing Data into Insights
Retailers generate enormous amounts of data every day. However, when retailers are not set-up to do this, most of their data could remain unused. With Retail BI systems retailers can pull all of that information together into a centralized system and leverage dashboards and reports to visualize KPIs such as sales trends, inventory turns, and customer preferences.
For example, the BI dashboard can give retailers immediate information regarding which categories of products sell better on weekends, or even which stores have too much inventory. Managers can now make evidence-based decisions to reduce waste, manage promotion effectiveness, and ultimately improve profitability.
Improving Inventory Management
Inventory mismanagement ranked in the top 5% of retail challenges and obstacles to securing store profitability. Having too much inventory leads to high carrying costs, while having too little inventory leads to missed sales. Retail BI provides predictive analytics that supports the right amount of inventory.
Retail BI tools can forecast future inventory needs based on analysis of past sales, seasonality, and local demand variations. The BI tools can also alert retailers to exceptions, such as when items slow down, or certain stores experience a drastic dip in sales, so that appropriate action can be taken before it is too late.
For example, a chain of apparel stores might discover through retail business intelligence that winter jackets are selling in the winter season in the north region of a country, while they won’t sell until later in the season in southern region markets. This information allows the retailer to strategically adjust their distrubution, pricing, and promo strategy.
Optimizing Customer Experience.
Retail success is ultimately based on customer experience, or more simply put, verbalized to retailers as customer satisfaction. Retail BI enables brands to see customer behavior on a more granular level. Through a combination of purchase history, loyalty rewards, and demographics information, BI tools can expose useful patterns around favorite brands, purchase frequency, or average basket size.
BI tools then allow retailers to better tailor offers, store layout for customers, or ultimately predict potential churn. For e-commerce retailers, BI tools can assess clickstream data so the overall experience is optimized for product recommendations, and minimized cart abandonment. Essentially Retail BI is a customer-centric use case for any retailer grounded in data-informed and grounded empathy.
Improve Marketing, Promotions, and ROI Improved traditional marketing is based on theory.
The retail business data will make campaigns based on data. Retailers will be able to determine the best promo offers, determine the best contacts per segment of customers, and measure ROI on every campaign.Imagine being able to say that accessories perform better with “Buy One Get One Free” and electronics are better with percentage discounts. When you’re making your plans with this level of clarity, you can ensure that your marketing budgets contribute the most and you are spending your dollars wisely!
Ensuring Consistent Operations Throughout Multiple Locations.
For retailers who work with more than one location, keeping operations consistent can prove challenging. Retail BI allows you to aggregate data from all locations to enable management to compare stores’ performance, compare productivity of employees and assess sales in each region in real-time.
If one location is underperforming, management can quickly drill down to identify issues with in, staffing, pricing or product mix and make narrow, specific corrections. This degree of visibility allows retail chains to achieve accountability and operational excellence.
Assisting with Financial Control
Retail BI does not simply track sales. It also integrates with your financial data. Profit margins, cost per acquisition, supplier performance and revenue metrics are integrated into one view of retail BI.
The retail CFO has visibility into profit leakage, plans to monitor discounts and returns and, ensure forecasting is on track with goals. Transparency improves financial control to support sustainable growth.
Connecting Offline and Online.
The contemporary retail environment is hybrid. There are both brick-a-mortar stores and digital platforms. Retail BI integrates these isolation for a 360° view of customer journeys.
For instance, customers may browse online, review information about the product, then purchase in store.In the absence of BI integration, this sort of multi-touch interaction stays unknown to retailers who can have no idea how digital outreach converts to in-store traffic and can better anticipate traffic. Prior to video possibility, they only received upsetting statistics about in-store purchases (or the opposite) being accredited to campaigns with no evidence pointing to final sales. This shifts into more curated, intelligent, omnichannel execution .
Access to AI and Predictive Analytics
Modern retail BI platforms applications have AI and machine learning which go beyond descriptive analytics (what “happened”), to predictive analytics (what will “happen”). AI models will anticipate sales highs, suggest the best prices, and automate reorder schedules.
An example is subscribing to an AI engineered BI system that sends a retailer notification that a forthcoming holiday is likely to spike sales in a particular category (giving that retailer time to get their stock levels right or prepare a marketing campaign). It is this predictive power that takes retailers from being reactive operators to proactive strategists (optimizing their in-store customer experience).
Engaging Employees with Access to BI Data
With BI dashboards, employees can access data trends to make quicker inputs for each department. Each day, store managers can monitor performance, marketing teams can check on campaigns in realtime, and executives can receive high-level performance reports instantly.
Allowing employees access to data creates more of a culture of accountability and innovation. Each employee can take accountability and give a measured contribution to the business and support growth.
The Future of Retail Intelligence
As retail continues to increase with the e-commerce volume, and as competition mounts, retailers that create a capacity to read reported data and trends will vie for superiority. Retail business intelligence will not be an option but essential for today’s retailers who wish to be on the leading edge.
If you can turn complex data into useful insights, it puts you in a better position to understand customers, streamline some components of the operation, and find new levers for growth, particularly in the post pandemic ages. Regardless of whether you run an independent boutique or a national retail chain business, you need to turn all of your information into information that allows you to make decisions.
At SignaTech,, we follow through on a promise to retailers: help you make smarter decisions, faster by providing you with Retail BI solutions that combine real-time analytics, AI recommendations, and dashboards that can help your team see trends to make decisions before the competition.
Make Smart Decisions Faster.
Find out how SignaTech service will redefine your management of your retail organization, and Be Smart, Make Smart Decisions, Faster.