FMCG.
Analyze POS foot traffic, consumer preferences, and purchasing patterns. Champion demand sensing, improve customer engagement, and reduce costs.
Better decisions, better outcomes.
Identify high-potential sites for stocking FMCG items
Use detailed footfall and demographic data to find prime locations for your FMCG goods to be stocked. Optimize your store network with insights into local demand, consumer home locations, and the competitive landscape.
Optimize inventory and supply chains with demand insights
Leverage geospatial data to understand demand patterns and optimize supply chains. Analyze foot traffic, demographics, and regional consumption to align inventory with demand and minimize supply risks.
Target optimal locations for field teams
Utilize footfall data to target high-impact areas for field reps. Focus on locations with high customer traffic to maximize outreach, strengthen market presence, and optimize resource use.
Identify high-potential sites for stocking FMCG items
Leverage granular foot traffic and demographic data to find prime locations for your FMCG goods to be stocked. Optimize your store network with insights into local consumer demand, home locations, and competitive landscape. Improve ROI and inform supply chain management decisions.
Pinpoint locations
Utilize detailed footfall and demographic data to identify locations where your goods are stocked with significant consumer interest to ensure new stores open in areas with strong sales potential. Inform category management decisions and optimize product assortment based on local preferences.
Guarantee minimal overlap with existing store inventory footprints
Analyze location data to position new stock in underserved areas, preventing cannibalization and maximizing the reach of your network. Increase market share and decrease potential shrinkage due to overstocking in saturated areas.
Increase long-term profitability
Use data-driven insights to select sites to stock that align with local demand, supporting sustainable store performance and high customer engagement over time. A well-placed stock with the right product mix can lead to higher inventory turnover.
Optimize inventory and supply chain management with demand insights
Use geospatial data to sense consumer demand patterns and streamline supply chain operations. Analyze foot traffic, demographics, and regional consumption habits to strategically align inventory with demand and reduce supply-related risks.
Improve inventory allocation
Align stock levels with demand patterns in each region, reducing waste and ensuring that stores have the right products to meet local needs. Effectively manage SKUs and optimize the performance of the lead team responsible for replenishment.
Reduce stockouts and overstocking
Forecast demand with accuracy, minimizing out-of-stock situations and overstock issues to maintain customer satisfaction and operational efficiency.
Enhance supply chain agility
Respond to shifts in consumer behavior, using geospatial insights to adjust supply flows and keep pace with dynamic market conditions.
Target optimal locations for field teams
Use footfall data to prioritize high-impact areas for field reps. Identify locations with high customer traffic, maximizing outreach and ensuring a stronger in-market presence with efficient use of resources.
Strengthen field team efficiency
Prioritize locations with high customer activity, allowing field teams to focus on high-impact areas and improve overall productivity in outreach efforts.
Maximize resource coverage
Direct resources to high-traffic zones to boost market penetration and ensure field reps are present where customer engagement is highest.
Reduce unneeded resources
Use foot traffic data to eliminate time spent in low-traffic zones, optimize resource allocation, minimize waste, and improve cost-effectiveness.
The best decisions are made with Echo.
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Our challenge was to find mobility data that seamlessly integrates with our users' GIS workflows.
Echo Analytics, which provides a database of businesses and stores enriched with mobility analysis, was the ideal solution.
Esri
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