Store BPaaS
Delivering the Store Manager's Judgment to Every Store
At many sites, analytical work is concentrated on specific individuals, and manually integrating and analyzing data from multiple sources has already reached its limit. What is needed now is to make analytical work autonomous with AI, and to transform scattered data into a state where the organization can fully leverage it.
Challenges
Do you face these challenges?
- Store Revenue and Operational Quality Vary Significantly With Store-Manager Capability
- Each Time the Store Manager Transfers or Departs, Store Operations Become Unstable
- Chronic Staffing Shortages Mean Shifts Cannot Be Filled, and Per-Person Workload Has Reached Its Limit
- Ordering Relies on Intuition and Experience, and Disposal Loss and Stockouts Occur Constantly
- BPO Is Used, but Costs Keep Climbing and Know-How Flows Outside the Organization
Store operations in retail remain entrenched in a structure that depends on the individual capability of a "capable store manager." Decisions on changing sales-floor layouts, adjusting order volumes, building shift schedules, and handling complaints are left to the store manager's experience and intuition, and cases in which operational quality plunges the moment the store manager transfers or leaves are constant. As the role of physical stores shifts to "experiential value" amid rising e-commerce (EC) penetration, maintaining and lifting the quality of the store experience with limited staffing has become the top-priority management theme for retail.
Against this backdrop, the BPaaS model — which delivers the business process itself with AI built in, as a service — is rapidly drawing attention. Whereas conventional BPO was a model of "dispatching people to perform the work," BPaaS is a model that "delivers an AI-native operations foundation as-is." It is characterized by scalability that does not depend on staff headcount changes.
“Because we embed ourselves into store operations as a business and operate them alongside our customers, the AI does not end up unused — and its precision keeps improving the more we operate.”
Operation Executive Director
Let's talk in detail
Our expert team will provide tailored proposals
Key Features
AI Sales-Floor Advisor
Based on sales data, weather, local events, and customer flow analysis, the AI proposes optimal sales-floor layout, assortment, and promotional initiatives on a daily and weekly cadence. We convert sales-floor judgments — previously made by managers on intuition and experience — into data-driven decisions.
AI Demand Forecasting and Automated Ordering
An AI that integrates past sales history, seasonal factors, weather data, and event information executes demand forecasting at the SKU level. It automatically calculates the optimal order volume and minimizes both stockouts and disposal. It eliminates the manual ordering work itself.
Real-Time Store Dashboard
Provides real-time, at-a-glance visibility into sales, customer count, average transaction value, inventory status, and staffing allocation across the entire store fleet. Through automated anomaly detection and alerts, the points where headquarters should intervene can be identified instantly.
Store Task Management and Automated Instructions
Centrally manages the rollout of instructions from headquarters, the automatic assignment of daily tasks (stocking, cleaning, POP placement, etc.), completion confirmation, and non-execution alerts. Resolves the issues of "instructions don't get through" and "we don't know if it was done."
Why Choose Us
Deploying "the Top Store Manager's Judgment" to Every Store Through AI
By integrating and analyzing sales data, weather, local events, day-of-week characteristics, and historical trends, the AI supports decision-making for sales-floor layout, assortment, order volume, and pricing initiatives at a level on par with a top store manager. Variability driven by differences in store-manager capability is structurally resolved, lifting operational quality across the entire store fleet.
A Structure in Which the AI Grows Smarter the More You Operate
By continuously running store operations as a business, daily sales data, customer-behavior data, and operations logs continue to accumulate. This data becomes the training material for the AI, and the precision of recommendations, demand forecasting, and shift optimization improves over time. It is a model in which the value one year after launch is higher than on day one, and three years out is higher than at one year.
Operations Design That Runs With Half the Staffing
Beyond automation through AI, we redesign the business process itself. Our operations specialist team designs the split between "what to entrust to AI and what people will do." This delivers a structure in which store operating quality is maintained — and even improved — with staffing cut in half.
Let's talk in detail
Our expert team will provide tailored proposals
Ready to transform your business?
Discover the value Store BPaaS can deliver to your business.