A full day in a home appliance and hardware store. Customers browse, look around and buy; some ask for help in the aisle, others for a brand demonstration, and others for a card transaction or a credit application at the counter. X, the share of visits that go to customer service and credit, is an input; Z, the share of those transactions completed successfully, is the business figure, and the customer rating scores service across the whole store. It compares the conventional store with adding Video Kiosks, digital endcaps and QR codes served by VCCaaS agents. A Video Kiosk is not self-service: there is a person on the other side, serving by video.
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Each scenario is set separately. By default, scenarios 2 and 3 have fewer floor staff and brand experts, because the digital endcaps and Video Kiosks serve by video, and the same counter as Scenario 1. Try removing counter positions and look at Z in “What changes in the store” and at the costs.
Same store, same day and same customers. “Occupancy”: average of the VCCaaS agents during opening hours.
Same day and same customers in all three scenarios. The store pays for in-person and remote service, digital endcaps, Video Kiosks and QR totems. Sales are not estimated: the outcome of service is measured with Z, the customer service and credit transactions completed successfully, and with the customer rating.
They apply to all three scenarios. Moving a value recalculates the day and the animation continues from the same time. Values with a source have published backing; the rest are working assumptions: adjust them with the client's data before showing any amount.
Out of scope: checkouts, stock-outs, after-sales, home delivery and sales. The outcome of service is measured with Z and the customer rating, not in revenue.
Simulation model with working assumptions. It is meant for comparing scenarios with each other, not as a forecast. Interactive Powers · interactivepowers.com