Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
A Swedish AI company born from academic research at Umeå University’s ICE Lab that helps retailers monetize first-party data.
Retail marketing teams struggled with disconnected data silos, spending hours manually poring over spreadsheets to find actionable insights. One...
“Marketers have a lot of data, and need a way to get actionable insights quickly.”
AI platform for retail data analytics, predictive insights, and segmentation.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
Price cuts distorted long-term plans. Planners now use a model that isolates spikes to accurately forecast volatile items like iPhones.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Producers manually matched timestamps. Now, teams edit transcripts directly, and AI generates social clips without video skills.
Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
A Swedish AI company born from academic research at Umeå University’s ICE Lab that helps retailers monetize first-party data.
Retail marketing teams struggled with disconnected data silos, spending hours manually poring over spreadsheets to find actionable insights. One...
“Marketers have a lot of data, and need a way to get actionable insights quickly.”
AI platform for retail data analytics, predictive insights, and segmentation.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Standard models distorted large datasets. Agents now analyze 150k tokens with precision, cutting 5-hour reviews to 10 minutes.
Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
Price cuts distorted long-term plans. Planners now use a model that isolates spikes to accurately forecast volatile items like iPhones.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Producers manually matched timestamps. Now, teams edit transcripts directly, and AI generates social clips without video skills.