Retail has never been an easy game. Margins get thinner, shelves are packed with endless SKUs, products don’t always last long, and every region comes with its own obstacles that make scaling difficult. Added with the high-stakes pressure of the industry, it’s clear why adapting, innovating and evolving isn’t optional. That’s why retailers are among the first to embrace business intelligence (BI) solutions.
This might seem like something only the big guns can afford, BI is valuable (and accessible) for any-sized business. Retailers use insights to create a competitive advantage, giving us plenty to learn from how they have done it.
Let’s dive into three key ways BI helps retailers.
1. Understanding Customers at a Deeper Level
“We’re not competitor-obsessed, we’re customer-obsessed. We start with what the customer needs and we work backwards.” – Jeff Bezos.
It’s all about the customer. Businesses that truly understand their customers win. It’s as simple as that. But, in today’s world, it’s no longer enough to just know your customers; you need to know them in depth, with insights that are easy to access and use. That’s why so many leading retailers are turning to business intelligence (BI). It helps them go far beyond surface-level metrics and zoom in on, life-like picture of who their customers are.
How BI deepens customer understanding
- Behaviour Analysis: Spotting what people buy, when, and how often.
- Predictive Insights: Anticipating needs before customers even ask.
- Segmentation and Sentiment: Knowing who your customers are and how they feel.
When retailers (And any businesses) understand their customers at a deeper level of they can serve them in ways that matter to their customers. That builds loyalty and, ultimately, long-term profit.
Example: Starbucks
Starbucks is a prime example of the power of BI. Data collected from over 34 million loyalty members is taken and turned into insights which, in turn, guides decisions to make tailored experiences. Starbucks uses this for smaller, regional decisions too. For example, in Japan, Starbucks noticed matcha drinks were gaining popularity. Based on this regional insight, local stores started to introduce more matcha-flavoured drinks and desserts, increasing sales and customer satisfaction.
2. Pricing Optimisation
One of the most powerful tools for growth is pricing. The world’s leading retailers use BI to proactively and precisely optimise prices through dynamic pricing strategies based on hard data rather than guesswork. This maximises revenue and profitability.
How BI supports smart pricing:
- A single source of truth: Centralising sales, marketing, finance, and external data sources (like competitor websites) into a clearly visualised dashboard provides an up-to-date picture that decision-makers can reliably use to update and optimise their prices.
- Dynamic pricing optimisation: Businesses can adjust prices in real time based on many different factors. Uber, for example, increases fares when demand outpaces supply. This is powered by live traffic data, driver availability, and customer usage patterns.
- Predictive analytics: BI explains what’s happening now and forecasts what comes next. Advanced analytics can show how a price change will impact demand, margins and customer behaviour. That means teams can make proactive, confident decisions and stay ahead.
Example: Walmart
With thousands of products across different stores in different regions, Walmart uses BI to optimise prices to stay competitive while keeping margins healthy. In 2017, Walmart invested heavily in retail BI platforms and data analytics so they could track billions of transactions, competitor prices, demands and local market dynamics, while offering tailored dashboards for each region. Thereafter, Walmart introduced its everyday low pricing strategy, rollback pricing, and uses AI algorithms to determine prices on products.
3. Optimising Operations and Supply Chains, and Inventory Management
Managing inventory well can be the difference between profit and loss. According to Harvard Business Review, poor inventory management costs retailers up to $1.75 trillion annually in lost revenue worldwide.
In the past, traditional analytics looked backwards, relying on historical reports and lagging indicators. These days, business intelligence is a game-changer. Real-time analytics enable faster responses across operations and supply chains. Nowadays, it’s possible to spot demand patterns early, balance stock between regions, and even catch supply chain issues before they cause problems, thanks to AI and machine learning.
This results in less inventory sitting around, fewer ‘out of stock’ moments, and healthier profits.
How BI Transforms Operations:
- Data integration across systems: Combining data from suppliers, warehouses and retail reduces the risk of siloed data. Two incredible tools for this are BigQuery and Fivetran.
- Inventory optimisation algorithms: BI can suggest reorder points, ideal stock levels, and automatic replenishment triggers. (Read how Starbucks is using AI for on-the-ground inventory counting.)
- Scenario simulation and planning: BI tools let you model changes in supply chain, demand spikes, or disruptions.
- Supplier risk assessment: BI tools, like Power Bi, Looker Studio, and Tableau, can flag suppliers that consistently delay shipments, allowing procurement teams to mitigate this risk before issues arise.
In industries where inventory has a limited shelf life, it’s no surprise that studies suggest over 46% of food and beverage companies plan to invest in business intelligence software to better understand customer demand.
Example: Target
The 2020 global pandemic left Target with mountains of stock sitting unsold as shopping habits changed overnight. Thanks to AI and machine learning enabling improved demand forecasts and giving them clearer visibility into inventory, they were able to adapt to these changes quickly by converting stores into small distribution centres and integrating them with existing sortation hubs and warehouses.
The results were transformative:
- Cleared approximately $2 billion in excess inventory over two years.
- Reduced merchandise inventories from $13.9 billion (FY ended Jan 29, 2022) to $11.9 billion (FY ended Feb 3, 2024)
Big or Small, Business Intelligence is a Growth Driver for Retailers.
Let’s face it, retail will always be complex. But business intelligence is giving forward-thinking retailers a real edge. The retailers willing to invest in understanding their customers more deeply and focusing on using data to drive decisions are able to keep operations lean without cutting corners.
And it’s not just the Walmarts and Starbucks of the world who benefit. With today’s tools, businesses of any size can tap into the same advantages. The big lesson? Turning data into insights, and insights into action, you enable growth, resilience, and lasting customer loyalty.
