Fruit Juice Retail Mapping - Product availability, pricing, shelf visibility, and outlet attributes for packaged fruit juices across retail locations

Fruit Juice Retail Mapping – In-Store Product Availability, Pricing, and Shelf Visibility This dataset offers granular, on-the-ground intelligence on the presence, pricing, shelf positioning, and availability of packaged fruit juice brands across various retail outlets. Captured by field agents directly from stores, the data includes structured inputs such as outlet attributes, product barcodes, pricing, shelf photos, and product availability checks. It is designed to help FMCG teams track in-store performance, benchmark competitors, and optimize retail execution strategies in real time. Core Value Proposition Retail environments are dynamic, and winning at the shelf requires timely, accurate data on how products are being positioned and priced across thousands of locations. This dataset bridges that gap by providing a real-world, store-level view into the execution of fruit juice products—across both modern and traditional retail formats. It enables stakeholders to move beyond assumptions and market averages, offering visibility into specific brands, SKUs, and store types. Teams can assess the effectiveness of distribution strategies, monitor compliance with planograms or promotional campaigns, and uncover competitive gaps across different regions. Use Cases by Role Trade Marketing Teams Verify on-shelf product presence and identify visibility gaps across retail partners Monitor planogram compliance with real photo documentation Compare pricing vs. competitors in-store to ensure promotional pricing is effective Track availability of new SKUs or promotional bundles Sales & Field Operations Prioritize store visits based on stockout frequency or missing SKUs Identify retailers not carrying key products or brands and target them for onboarding Validate retail execution of in-market activations or price drops Map payment method availability for potential POS integrations or retail enablement Brand & Category Managers Measure retail footprint and market penetration at the brand level Benchmark share of shelf and price positioning versus competitors across retail types Identify regional pricing inconsistencies or availability issues Understand consumer-facing shelf experience using storefront and shelf photos Insights & Strategy Teams Segment retail environments by outlet type, city, or region for performance benchmarking Identify trends in availability, pricing, and product assortment Support business cases for expanding into underserved channels or cities Feed data into forecasting or market sizing models using actual in-store coverage Revenue Growth & Pricing Teams Monitor how price strategies are being executed in the field Identify unauthorized discounting or pricing inconsistencies by outlet Evaluate price sensitivity by comparing prices across similar store types Use competitor pricing benchmarks to refine promotional calendars Key Data Components Outlet Details Outlet Name, Type, Address, City, Country, Latitude, Longitude These fields provide context around where the product data was captured, supporting regional and channel segmentation. Storefront & Section Photos Storefront Photo, Juice Section Photo Visual confirmation of retail execution and visibility, allowing internal teams to audit displays and merchandising quality. Product Availability & Pricing Is [Brand] Available? fields for each juice brand (e.g., Chivita, Capri-sun, Ribena, etc.) Price, Barcode, and Shelf Photo for each product These fields allow for detailed, SKU-level tracking of which products are available, at what price, and how they appear on the shelf. Additional Retail Attributes Payment Methods, Products Offered, Additional Attributes These help teams understand store-level characteristics that may influence sales strategy, such as whether the outlet supports mobile payments or carries complementary categories. Competitive Tracking Brands included in the dataset (e.g., Chivita Orange, Happy Hour, Active, Capri-sun, Ribena, 5Alive, Frudi, LaCasera, Sosa, Wilson’s Lemonade, etc.) are all tracked for: On-shelf presence (yes/no) Price Barcode Shelf-level photo capture This makes the dataset a strong foundation for competitive audits, pricing analysis, and retail presence benchmarking across brands and territories. Summary The Fruit Juice Retail Mapping dataset provides the ground truth for how fruit juice products are presented, priced, and positioned at the point of sale. It’s built to enable smarter decision-making across marketing, sales, trade, and insights functions—helping teams move faster, identify gaps, and act on opportunities with precision. Whether the goal is to improve coverage, enforce pricing policy, design promotions, or win more shelf space, this data offers the visibility needed to execute with confidence.