Learn how Save Mart increased category revenue by 18% using data-driven assortment planning and local product intelligence. Discover strategies to optimize product mix, meet local demand, and boost retail performance.
Save Mart Companies, operating over 200 stores under the Save Mart, Lucky, and FoodMaxx banners across Northern and Central California, faced mounting competition from both national chains (Walmart, Kroger) and specialty retailers (Sprouts, Trader Joe's). The company recognized that its assortment strategy — historically driven by supplier negotiations rather than consumer demand data — needed a data-driven overhaul. Actowiz Solutions implemented a comprehensive assortment intelligence platform that scraped competitor product catalogs, tracked local food trends, and analyzed regional demographic preferences to guide Save Mart's category management decisions.
Scrape and catalog the full product assortment of 8 competing retailers across California's diverse grocery market.
Identify assortment gaps — high-demand products available at competitors but missing from Save Mart banners.
Track emerging food trends, new brand launches, and regional product preferences across California's multicultural markets.
Optimize shelf space allocation using competitor benchmarking and local demand data.
Actowiz Solutions scraped the complete online product catalogs of 8 competing retailers — Safeway/Albertsons, Walmart, Kroger, Raley's, Sprouts, Trader Joe's, Grocery Outlet, and WinCo Foods — capturing product names, brands, sizes, prices, categories, and availability. We processed and normalized 180,000+ unique SKUs across competitors.
Using AI-powered product matching, we compared Save Mart's assortment against competitors category by category. The analysis revealed 3,200+ products available at 3+ competitors but absent from Save Mart shelves, with the largest gaps in Hispanic specialty foods, plant-based alternatives, and premium artisanal products.
We built a trend detection system that monitored food blogs, social media platforms, and California-specific food publications to identify emerging product categories. Combined with Census demographic data and local market analysis, we created demand forecasts for underserved categories — revealing strong unmet demand for Asian groceries in Central Valley and Mediterranean products in Bay Area stores.
Recognizing that Save Mart, Lucky, and FoodMaxx serve different customer segments, Actowiz Solutions developed banner-specific assortment recommendations. FoodMaxx received value-oriented additions; Lucky got expanded ethnic and specialty products; Save Mart stores received premium and trending items tailored to their more affluent customer base.
We provided Save Mart's procurement team with competitive pricing intelligence for gap-fill products, including competitor retail prices, promotional frequency, and estimated volumes. This data strengthened vendor negotiations, achieving an average 8% better cost of goods on newly listed items.
Increase in Category Revenue
In categories where assortment optimization was implemented based on competitive intelligence.
Assortment Gaps Identified
High-demand products available at competitors but missing from Save Mart banners.
Competitor SKUs Cataloged
Across 8 retailers with full product attributes, pricing, and availability data.
Average Improvement in Cost of Goods
On newly listed items, achieved through competitive pricing intelligence in negotiations.
Actowiz Solutions helped Save Mart Companies transition from a supplier-driven to a consumer-demand-driven assortment strategy. By leveraging comprehensive competitive catalog intelligence and regional trend analysis, Save Mart identified and filled critical assortment gaps across its three banners — driving measurable revenue growth while better serving California's diverse consumer base.
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Learn how Save Mart increased category revenue by 18% using data-driven assortment planning and local product intelligence. Discover strategies to optimize product mix, meet local demand, and boost retail performance.
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