Find where the shopping experience breaks down and test changes to the store conditions behind it. Connect customer journeys, availability, waiting, and fulfillment to the operating decisions your teams make.
We build a 3D digital twin of your store, including fixtures, inventory locations, checkout lanes, stockrooms, receiving areas, and parking and pickup spaces. This virtual environment provides the physical infrastructure the simulation needs to model how customers and associates move, work, and interact.
Virtual customers shop, wait in line, and check out while associates receive inventory, replenish shelves, process returns, and fulfill pickup and delivery orders. By bringing these activities into one store model, we can examine how layout, product availability, staffing, and workflows shape the customer experience.
Bring a specific operating challenge or an alternative you want to test into the simulation. These post-simulation assessments show the inner workings of your store while it's in motion and highlight where the customer experience falls short.
Where do customers encounter friction?
What We Compare: End-to-end journey outcomes for in-store shopping and e-com pickup and delivery.
Which operating changes could improve service?
What We Compare: Queue lengths, waiting time in line, and cart/line abandonment rates.
Can the store deliver the intended shopping experience?
What We Compare: Shopping paths, availability, out-of-stock events, substitutions accepted and rejected.
What might better service mean for customer value?
What We Compare: Retention effects, customer lifetime value, and operating economics
Illustrative store and simulation views show the types of questions we can work through with your team.
Map shopping, checkout, and fulfillment journeys to identify where customers wait, leave, or complete their trip. Review the customer outcome alongside the work and resources that shaped it.
Compare checkout staffing and workflow alternatives against queue patterns throughout the day. Assess whether an improvement in one part of the journey creates pressure elsewhere.
Evaluate how inventory, replenishment work, and employee staffing affect the customer journey and store financials. Use simulations to examine the experience in the context of your store layout(s).
Review how experience factors influence retention and customer lifetime value under the operating plan for your store. Compare the operational changes and their costs to the overall customer experience.
A change to one part of the store affects the others. Explore the related services and the platform behind the analysis.
How simulation helps retailers find and fix the parts of the store experience that cost them customers.
Start with where the experience breaks down, such as waiting, unavailable products, or failed pickup and delivery orders, and test changes to the store conditions behind it, such as staffing, replenishment, layout, or workflows. We use a digital twin of your store to compare those alternatives before they reach a customer in a physical store.
Virtual customers shop, wait in line, and check out in a model of your store while associates receive inventory, replenish shelves, and fulfill orders. We compare end-to-end journey outcomes for in-store shopping and for pickup and delivery, showing where customers wait, leave, or complete their trip.
Many levers can reduce checkout wait times, and each carries a different cost: opening more registers through added staffing, adding registers, reducing the marketing spend that drives traffic, adding nearby stores, expanding pickup and delivery options, or offering app-based self-checkout. We compare these alternatives to see which takes pressure off the front of the store at the lowest cost.
When products are unavailable, customers change their shopping paths, accept or reject substitutions, or leave without buying. We evaluate how inventory, replenishment work, and staffing affect availability and the customer journey.
Customer experience influences whether customers return and how long they stay. Customer lifetime value translates those patterns into their expected economic contribution over time. We review how waiting and out-of-stock events influence retention and, in turn, increase or decrease customer lifetime value.
Simulation outcomes depend on the inputs and assumptions used. We review those assumptions and the practical implications with your team.
Share the decision you're considering and the tradeoffs you need to understand.
Simulation outcomes depend on the inputs and assumptions used. We review those assumptions and the practical implications with your team.