Today’s empowered customer has more choices than ever and higher expectations. With customers interacting across multiple channels and demanding consistent brand experiences across them all, retailers have turned to data for help.
In an omnichannel world where data is coming in from all sides, we help retailers apply this data to turbocharge every aspect of their business, from assortment and pricing to supply chain and hiring.
From loyalty programs and web analytics, to supply chain management and point-of-sale details, making sense of big data to find actionable insights is simply critical to understand customer behavior and shopping trends.
Faster, Smarter Decision Making
Key Takeaways
Retail analytics uses empirical data and science to make decisions in what traditionally has been an intuition-led.
Analytics helps retailers set inventory levels, allocate staff, set prices at levels that will entice shoppers while providing the business with sufficient profit margins, and capture market share.
Retail analytics uses a plethora of data sources, including point-of-sale (POS) systems, in-store video feeds, and systems that track individual customer purchase and service histories.
Retail analytics tools sometimes use AI and Machine Learning to help predict trends, suggest next offers, and provide the basis for pricing and inventory-allocation decisions. Strong visualizations make these tools easier to use than spreadsheets or other plain-text business intelligence reports.
Big data consulting
With big data, businesses can gain a truly competitive edge to their day-to-day operations. We help retailers gain a deeper understanding of the company's performance, customer behavior and market trends. Our big data consulting services focus on offering our clients the technologies, tools and strategies they need to shift through large quantities of market- and company-based data.
From strategy road map, tech evaluation, and proof of concept to platform customization and implementation, our experts are always at hand to help you navigate all stages on your big data journey.
Data Analytics
Effective data analysis helps retailers of all sizes to save money, see the bigger market trends and streamline internal processes. Our team helps you identify the data streams you should be tracking and following and sets up processes and visualization tools to help you make sense of the data.
There are four main types of retail data analytics: descriptive analytics that reflect and explain past performance; diagnostic analytics to determine the root cause of a given problem; predictive analytics to forecast future results; and prescriptive analytics to recommend next steps. From one-off consultation to ongoing partnerships, our data analysts are available on short notice to help you steer your business to the right direction.
Data Visualization
You've got the data, but struggle in visualizing the market changes and consumer behavior? We help harness that power through data visualization. Use intuitive, easy-to-understand images to make sense of your data and empower your business to move faster—in the right direction.
Our in-house team of consultants would direct you to right set of tools - Tableau/Power BI or design in-house, our UI/UX designers ensure that all data, no matter how complex, can be displayed through visualization tools in ways that actually make sense to shareholders at a glance.
Location
201, Alekhya Hibiscus, Shilpa Hills, Road No 1, Madhapur, Hyderabad - 500084
Contacts
+91 (040) 3572 7754
reachus@positiveminds.tech