Analytics
Data & Action in
One Place
Analytics and action shouldn’t exist in two different places. Capture, comment on, edit, share and tag Snowflake-driven insights directly on your Tableau interface without having to exit the application to navigate to another. Initiate a conversation, create an alert or dive for details from your current desktop screen, tablet or smartphone.
Converging predictive and prescriptive insights with action will shorten decision-making time and decision-making effort. It will also make real-time data more accessible within workflows enabling more people in different departments to incorporate data into crucial everyday decisions. Behavior-based customer segments can be pushed to Jesta’s Point-of-Sale software, for example, for the creation of targeted promotions.
According to a recent Forrester report, 74% of businesses say they want to be “data-driven,” but only 29% are successful at connecting analytics to action. Actionable analytics will help businesses understand customer data and uncover shopping trends, and then act intelligently without delay to improve retention, foster loyalty and strengthen financial performance.
Data can be pushed to your Merchandising and Point-of-Sale solutions for data-driven decisions.
Data That Drives
Decisions
Discover the core features that make Jesta I.S. Merchandising ERP your ultimate choice for success:
Explore More Merch ERP
Solutions
Merchandise Planning
Define your open-to-buys, margins and revenue, digitize your planning and KPIs so users can easily share, publish and reconcile different plans and versions.
Assortment
Build customer-centric assortments, optimize the breadth and depth of your product portfolio and automate your strategies to maximize sales.
Allocation & Distribution
Allocate your inventory to the stores and channels that are likely to sell it the fastest at the highest price considering what’s been sold and localized demand.
Replenishment
Automatically push the right inventory in the right amount to the right place at the right time to maintain optimum stock and service levels.
Size-Pack Optimization
Leverage historical sales data to auto-determine the optimal quantity per size for prepacks to more quickly meet localized demand and maximize sales.
Price & Markdown Management
Plan, analyze and adjust temporary and permanent price changes, simulate their effect on sales and automate markdowns according to your predefined rules.
Sales Audit
Reconcile your POS and OMS data with the transactions and inventory data in your Merchandising applications to ensure accuracy, compliance and control.
Warehouse Management
Achieve unified inventory and order visibility, enhance your space utilization and improve pick-pack-ship efficiency with desktop and mobile capabilities.
Buyer's Toolbox
Review the lifecycle of your inventory at various milestones via a 360° visual carousel of your products. Take action to optimize sales performance.
Category Management
Review key sales and inventory KPIs at the department, class, subclass and item level to track and adjust buying and planning with optimal results.
Analytics
Transform real-time insights into strategic data-driven actions. Leverage predictive and prescriptive analytics based on market and performance data.
Financials
Digitize and centralize your POs, easily and securely manage your EDI invoices with real-time updates, automate three-way invoice matching and more.
Common
Questions
Have a question? Browse our FAQs. If your question isn’t answered here, please send us an email via our contact form.
What is retail analytics?
Retail analytics is the process of collecting, analyzing, and interpreting retail data to improve business performance. It helps retailers turn information from sales, inventory, customer behavior, and operations into insights that support smarter decisions across merchandising, pricing, promotions, and supply chain activities.
What does retail analytics software do?
Retail analytics software helps retailers centralize data, visualize performance, identify trends, and take action based on real-time and historical information. It supports reporting, dashboards, alerts, and deeper analysis so teams can make faster and more informed business decisions.
Why is analytics important in retail?
Analytics is important in retail because it helps businesses understand what is happening across products, stores, channels, and customers. With better visibility into performance, retailers can improve forecasting, optimize inventory, strengthen pricing strategies, increase responsiveness, and drive more profitable outcomes.
How does retail analytics improve decision-making?
Retail analytics improves decision-making by turning raw data into clear, actionable insights. It helps teams spot trends, monitor KPIs, identify exceptions, and evaluate performance more accurately so they can act faster and with greater confidence.
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