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How a CPG Brand Used Walmart & Albertsons Store-Level Data for Inventory Planning

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  At a Glance Client US-based CPG brand (packaged foods and beverages) Geography United States Focus on the top 50 metro markets Platforms Scraped Walmart (store-level inventory and pricing) Albertsons (store-level inventory and pricing) Project Duration 5 weeks initial build Ongoing weekly refreshes thereafter The Challenge The client's CPG brand sold through Walmart and Albertsons (and other major chains), but the team had a structural visibility problem: their internal sell-through data showed which stores were selling product , but not which stores actually had the product on the shelf . This mattered enormously for two reasons: Out-of-stocks were happening in pockets without internal teams catching them — a 6-8% out-of-stock rate at a key store in a major metro is a meaningful revenue leak that aggregate sell-through data never reveals. Pricing variance between stores existed — the same SKU might be priced $3.49 in one Walmart and $3.79 in another within the same metro, affect...
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How a Cross-Border E-commerce Platform Tracked Allegro Sellers for Market Entry Intelligence

  At a Glance Client Cross-border e-commerce technology platform (Lithuania-based) Geography Lithuania headquarters Poland market entry focus Platforms Scraped Allegro (seller-level data, product data, and pricing data) Project Duration 6 weeks The Challenge The client was a cross-border e-commerce technology platform helping sellers expand into new European markets. Their next strategic priority was Poland, where Allegro is the dominant marketplace — by some measures larger than Amazon in the Polish e-commerce landscape. But the client had limited operational visibility into: Who the top-velocity sellers were on Allegro by category Pricing dynamics in the categories their existing sellers would target Seller behavior patterns — what tactics top Allegro sellers used (pricing strategy, listing quality, promotional cadence) Category-level competitive intensity — which categories were over-saturated vs. underpenetrated Without this intelligence, the client couldn't confidently advise...
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How a US Restaurant Chain Used Panda Express Menu Data for Competitive Positioning

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  At a Glance Client US-based multi-unit QSR operator (Asian cuisine segment) Geography United States, nationwide coverage Platforms Scraped Panda Express (web and app, store-level data) Project Duration 4 weeks initial build Ongoing monthly refreshes thereafter The Challenge The client operated a regional QSR chain in the same broad cuisine segment as Panda Express, with ~80 locations across several US states and plans for national expansion. Senior leadership knew Panda Express was the structural category leader, but they had limited visibility into: Store-level menu variations — did Panda Express run different menus in different geographies? Pricing differences by store location — were items priced differently in different states or markets? Promotional patterns — when, where, and how did Panda Express run LTOs (limited-time offers) by location? Store density and expansion patterns — where was Panda Express opening, closing, or running into operational issues? Manual research wa...
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How a Canadian Grocery Aggregator Used Metro.ca Data for Catalog Enrichment

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  At a Glance Client Canadian grocery technology platform (catalog aggregation focus) Geography Canada — primary focus on Quebec and Ontario markets Platforms Scraped Metro.ca (full grocery catalog and product images) Project Duration 6 weeks initial build Ongoing weekly refreshes thereafter The Challenge The client was building a grocery technology platform that needed a clean, comprehensive product catalog of Canadian grocery items — with structured attributes (brand, size, category, nutrition where applicable) and high-quality product images. Building this catalog from scratch through manual entry or supplier feeds was estimated at 9-12 months and significant headcount. Metro.ca, one of Canada's largest grocery retailers, had a well-structured online catalog with thousands of SKUs across categories — but no public API. The product images were particularly valuable: high-resolution, consistent angle, professional photography that would have taken months to commission. The client ...
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Sharaf DG & Jumbo Electronics Pricing UAE | Actowiz

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  Industry Consumer Electronics / Retail Tech Geography United Arab Emirates — Sharaf DG, Jumbo, LuLu Electronics, Plug Ins, Carrefour Electronics Data Coverage SKU pricing, MAP compliance, festival promo tracking, in-store vs online price gaps Actowiz Solutions delivered SKU-level pricing intelligence and MAP compliance monitoring across Sharaf DG, Jumbo Electronics, LuLu Electronics, and Plug Ins for a UAE consumer electronics brand — covering smartphones, audio, smart home, and small appliances. Client Overview The client is a top-5 UAE consumer electronics brand with strong distribution at Sharaf DG, Jumbo Electronics, LuLu Electronics, Plug Ins, and Amazon.ae. With DSF (Jan-Feb), Yellow Friday (Nov), Ramadan, and Eid driving 60%+ of category sales, real-time pricing intelligence was business-critical. MAP violations were the brand's #1 retail-relationship issue — frequently triggered by authorised dealers offering unauthorised festival discounts. Business Challenges Festival ...
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