{"name":"Percolata","domain":"wixsite.com","url":"https://optimly.ai/brand/percolata","is_claimed":false,"categories":["data-analytics-business-intelligence","marketing-technology"],"headers":[{"header":"Overview","sections":[{"key":"short_description","label":"Tagline","shape":"text","content":"Proprietary deep learning technology providing 4x higher accuracy than existing forecasts, and the only solution offering a forecast accuracy guarantee, leading to significant sales increases (10-20% for staffing, up to 22% for marketing) and cost savings.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://wixsite.com","updated_at":"2026-10-04T00:06:03.626000+00:00"},{"key":"description","label":"Description","shape":"text","content":"Percolata provides machine learning-based solutions for retail staffing and marketing optimization. It offers predictive analytics to forecast sales and foot traffic hourly for individual stores, enabling organizations to optimize staffing and delivery levels. Additionally, its proprietary deep learning technology helps marketers optimize budget allocation across multi-channel campaigns to drive more sales to virtual and physical stores.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://wixsite.com","updated_at":"2026-10-04T00:06:03.626000+00:00"}]},{"header":"Offerings","sections":[{"key":"core_capabilities","label":"Core capabilities","shape":"text","content":"Forecast as a Service for staffing optimization (predicting sales\ntakeout orders\nin-store traffic\noccupancy hourly) and Marketing Optimization (predicting campaign effectiveness and optimizing budget allocation to maximize sales).","source_type":"1p_website","source_label":"Brand's website","source_url":"https://wixsite.com","updated_at":"2026-10-04T00:06:03.626000+00:00"},{"key":"pricing","label":"Pricing","shape":"text","content":"Pay-as-you-go, no hardware installation, no upfront payment or package subscription unless desired, with a guaranteed prediction accuracy where customers don't pay for incorrect forecasts.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://wixsite.com","updated_at":"2026-10-04T00:06:03.626000+00:00"}]},{"header":"Audience","sections":[{"key":"target_industry","label":"Target industry","shape":"text","content":"Mid-sized and global retail brands, including apparel companies, pharmacies, and restaurants.","source_type":"1p_website","source_label":"Brand's website","source_url":"https://wixsite.com","updated_at":"2026-10-04T00:06:03.626000+00:00"}]}],"last_refreshed_at":"2026-10-04T00:06:03.626000+00:00","last_changed_at":"2026-10-17T23:42:46.565319+00:00","claim_url":"https://app.optimly.ai/sign-up?claim=aab6a6f2-845c-464f-83f4-f4660bd7bd72"}