A national retail chain struggled with heavy administrative workloads for store managers. Time spent on reporting, scheduling, task coordination, inventory checks, and policy lookup reduced the ability to focus on customer engagement, staff coaching, and daily store execution. Leadership needed a streamlined, intelligent way to reduce routine administrative effort and make critical operational information easier to access.
We facilitated a GenAI assistant that significantly improved store execution, reduced administrative burden, and created a more consistent operational rhythm across locations.:
30% reduction in administrative time, freeing managers for customer and team engagement
Faster task execution with immediate answers to policy, HR, and operational questions
More consistent store performance through standardized AI-assisted workflows
Reduced onboarding time for new managers
Higher store productivity from fewer manual lookups and automated routines
A scalable GenAI assistant framework expandable to regional teams and corporate functions
THE SITUATION: Store managers were required to navigate multiple systems—HR, POS reports, scheduling tools, policy manuals, shared drives—resulting in slow execution and inconsistent performance across locations. High turnover created knowledge gaps for new managers, while experienced managers spent too much time searching for answers instead of running the floor. Without an integrated operational knowledge layer, stores relied on manual processes that were inefficient and difficult to scale.
THE PROBLEM: The retailer faced significant process, knowledge, and workflow challenges that made daily operations inefficient and difficult to standardize, including
Daily administrative tasks spread across multiple systems
Manual report consolidation for sales, labor, and inventory
Frequent policy questions requiring calls to corporate or searching shared drives
Slow access to procedure documents and operational checklists
High turnover creating knowledge gaps among new managers
Limited time for customer-facing priorities
The Frame Solution
Designed and deployed a GenAI-powered Operations Assistant to centralize knowledge, automate routine workflows, and provide instant, context-aware support for store leaders. Our solution combined knowledge engineering, natural language interfaces, and RAG-based retrieval to transform store-level operations.
Unified SOPs, policies, HR guidelines, sales reports, and inventory data into an AI-ready knowledge model
Implemented secure RAG pipelines for accurate, context-aware responses
Enabled natural-language (NLP) prompts for scheduling, tasks, and quick data lookups
Automated daily summaries and store readiness checklists
Provided step-by-step guidance for operational procedures and compliance tasks