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Retail Location Analysis: A Data-Driven Guide to Site Selection

Retail Demand Forecasting: Methods, Key Drivers, and How to Improve Accuracy

Retail demand forecasting helps retailers predict future product demand across stores, channels, and time periods to improve inventory, replenishment, pricing, and margin decisions. By combining historical sales with mobility, visit intelligence, POI, and audience data, retailers can detect demand shifts earlier, improve forecast accuracy, and allocate inventory more precisely.

Published on: May 8, 2026

Demand Planning and Forecasting: Complete Guide for Modern Supply Chains

Demand planning and forecasting help businesses predict future demand and turn those predictions into inventory, production, staffing, and supply chain decisions. By combining historical data with real-world signals like mobility, traffic, place activity, and economic indicators, teams can improve forecast accuracy, reduce planning risk, and build more responsive supply chains.

Published on: May 7, 2026

Demand Forecasting in 2026: From Historical Models to Real-World Signals

Demand forecasting helps businesses estimate future customer demand to improve inventory, staffing, pricing, operations, and growth planning. By combining historical trends with real-world signals like mobility, visits, trade areas, events, weather, and location activity, teams can improve forecast accuracy, respond faster to demand shifts, and make more confident planning decisions.

Published on: May 4, 2026

Demand Forecasting Methods: A Practical Guide to Choosing the Right Approach

Demand forecasting methods help businesses estimate future demand across inventory, operations, and growth planning. By combining qualitative, quantitative, causal, and AI-based approaches with real-world signals like mobility, visit behavior, POI context, and audience data, teams can improve forecast accuracy, detect demand shifts earlier, and make smarter planning decisions.

Published on: April 30, 2026

High street vs mall: Retail Opportunities and Risks

The high street vs mall decision helps retailers choose locations that best match their customers, store format, cost structure, and growth goals. By comparing footfall quality, visibility, accessibility, surrounding businesses, audience fit, and profitability potential, retailers can reduce site risk and make more confident location decisions.

Published on: March 26, 2026

Retail Location Analysis: A Data-Driven Guide to Site Selection

Retail location analysis helps businesses choose stronger store sites by combining foot traffic, mobility, demographics, POI, competitor, and trade area data. By moving beyond static market reports and using real-world behavior signals, retailers can better understand local demand, reduce site selection risk, and make more confident expansion decisions.

Published on: March 16, 2026

Retail Store Cannibalization: Why New Store Openings Drain Sales and How to Stop It

Retail store cannibalization happens when a new location shifts visits and sales away from nearby stores instead of creating new demand. By using mobility and location intelligence to measure catchment overlap, simulate expansion scenarios, and track post-launch demand shifts, retailers can reduce expansion risk and protect network performance.

Published on: February 25, 2026

Customer Shopping Behavior Across Locations: What Transactions Miss and How to Measure It

Customer shopping behavior data helps retailers understand how people visit, move between, and engage with physical locations over time. By combining privacy-safe people and visit data, businesses can uncover visit frequency, dwell time, cross-shopping, repeat behavior, and location-level differences that transaction data alone cannot explain.

Published on: January 29, 2026

Micro-Catchment Footfall: How Retailers Can Spot Shifting Demand at a Street-Block Level

Micro-catchment footfall helps retailers understand demand at the block, street, and intersection level. By identifying where foot traffic is rising, weakening, or shifting around each store, retailers can improve hyper-local marketing, staffing, inventory planning, site selection, and competitive response.

Published on: December 17, 2025

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Retail Location Analysis: A Data-Driven Guide to Site Selection

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Data Insights