Industry
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Retail & distribution
Retail & distribution data solutions for planning, sales and better decisions
Retail and distribution companies make daily decisions across products, categories, stores, e-commerce, customers, pricing, inventory, logistics and finance. EMARK helps connect these data sources into practical solutions for sales visibility, demand planning, forecasting, reporting, profitability analysis and AI-ready data.
Problem
Retail decisions move fast, but fragmented data slows down visibility, planning and action
Sales and product data is spread across channels
Planning depends on manual spreadsheets
Decisions need visibility, not just reports
Solutions
Connect retail data into practical solutions that improve sales visibility, planning, forecasting and decision-making
Retail analytics & sales visibility
Connect sales data across stores, e-commerce, regions, categories and products. Give management, marketing, sales and category teams a faster way to understand what is selling, where, through which channel and with what business impact.
Product, category & profitability analysis
Go beyond sales volume and analyze which products, categories or customer groups are profitable. Support pricing, assortment, promotion and category decisions with data that connects revenue, cost, margin and demand context.
Demand planning & forecasting
Build scalable demand planning over products, categories, countries and stores. Use forecasts, historical sales and planning inputs to support inventory, logistics, purchasing and commercial decisions with a longer and more reliable planning horizon.
Sales budget planning & reforecasting
Replace disconnected Excel templates with a governed planning workflow. Users can plan directly in the analytical environment, adjust assumptions, track changes, compare with actuals and reforecast during the year.
Supply chain & inventory visibility
Use connected data to support stock, procurement, supply chain and S&OP decisions. Planning and analytics can help teams identify inventory risks, prepare for demand changes and reduce manual coordination between sales, operations and finance.
AI-ready retail data & decision support
Prepare retail data for AI use cases such as forecasting support, data agents, document AI, semantic search or decision intelligence. AI is most useful when it works with governed, structured and business-ready data.
Retail & distribution use cases
Online & store
sales analytics
- Support marketing, assortment and commercial decisions
- Analyze category and product trends by region or store
- Compare online and store performance in one view
Product
& category profitability
- Support pricing and assortment decisions with evidence
- Find underperforming or low-margin products faster
- Analyze profit, margin and sales together
Retail pricing
decisions
- Validate pricing assumptions with real sales data
- Compare scenarios before decisions are made
- Reduce reliance on intuition alone
SKU-level
demand planning
- Reduce manual work across reports and spreadsheets
- Extend planning horizon where data supports it
- Plan at product/SKU level
Sales budget
planning
- Govern access by user, template or responsibility
- Track history of changes and budget calculations
- Replace complex spreadsheet consolidation
Reforecasting during
the year
- Support faster management and finance decisions
- Compare budget, actuals and reforecast
- Update plans based on market reality
Data foundation for retail planning
& analytics
- Align product, customer, store and finance data
- Prepare data for forecasting and AI use cases
- Reduce inconsistent numbers across reports
AI-ready data
& decision support
- Support future AI agents and natural-language data access
- Keep human validation in planning and decision-making
- Prepare semantic layer and business vocabulary
Public usability
EMARK’s retail and distribution sources show practical outcomes across analytics, planning and forecasting.
How EMARK helps retail and distribution companies work better with data
1. Identify the business decision, process or data problem
We start with a concrete decision or process: sales visibility, product profitability, demand planning, pricing, inventory, sales budget planning, finance or AI readiness.
2. Connect and structure the data
We connect ERP, e-commerce, POS, product, customer, store, warehouse, finance and Excel data where relevant. Then we prepare governed models and shared definitions that business users can trust.
3. Build the right solution
Depending on the need, we build dashboards, planning workflows, forecasting models, writeback applications, data products or AI-ready layers. The solution is designed around how teams actually work.
4. Enable users and scale adoption
We help business, finance, category, supply chain, operations and data teams adopt the solution. Many successful projects start with a focused pilot or use case and then scale across more processes, teams or countries.
Technology that supports retail and distribution decisions
Qlik Sense
Qlik Sense for retail analytics, dashboards, data exploration, planning interfaces and reporting
Inphinity Forms / Planning
Inphinity Forms / Inphinity Planning for writeback, planning inputs, workflows, approvals and sales budget planning
ERP, POS, e-commerce, product
ERP, POS, e-commerce, product and customer data as the foundation for sales, planning and profitability analysis
AI / ML
AI / ML for forecasting, data agents, semantic search and decision support once data is ready
Data warehouse / data platform layers
Data warehouse / data platform layers for governed models, history and shared business definitions
Snowflake, Microsoft Fabric, Power BI, Talend
Snowflake, Microsoft Fabric, Power BI, Talend, dbt and related data stack components where they fit the architecture
Turn retail data into faster sales and planning decisions
Whether you need better sales visibility, SKU-level demand planning, product profitability analysis, reforecasting or AI-ready data, EMARK can help you define a practical next step.