The AI kit for Retail Sales Associates

Walks a return from start to finish, including eligibility, labels, and refund math. Example: a customer asks where their $64 refund is.

Processes returns, exchanges, and refunds across in-store, online, and omnichannel while applying store policy. Example: swapping a wrong-size jacket bought online.

Handles return authorization, inspection, disposition, fraud checks, and warranty claims. Example: deciding if a returned drill can be resold or scrapped.

Runs live sales talk: qualifying, recommending, pricing, objections, and closing. Example: a shopper comparing two laptops and asking for a discount.

Like "Explain Product Features To A Customer"

Like "Draft a Warm Retail Greeting"

Like "Provide Return Policy Information"

Like "Suggest Relevant Add-Ons"

A schedule that covers each zone at the busiest hours without breaking rules

Every associate can answer the common questions about a new product before it goes on the floor

Complaints are resolved consistently, with follow-up tracked until the customer is satisfied

The store opens with every required task done or a clear decision on what is not

Let your AI record sales, check reports and manage customers in your Kash shop account.

Browsebuddy is an AI chatbot that combines sales assistance and customer support within your store, creating a smooth and efficient shopping experience from pro

Loop English is an app that uses AI to customize business English lessons based on your profession, providing just-in-time learning to improve your communicatio

Build a no-app loyalty sign-up that reads the till display and fits the store's existing checkout flow.

Give staff a clean way to escalate edge-case policy questions instead of guessing at the counter.

Prepare a complete return case before warehouse or support staff step in, cutting back-and-forth and wrong refunds.

A sales assistant that runs on the customer's existing phone without requiring app downloads or hardware installation

Drafts professional emails for business, technical, and customer contexts.

Turns a transcript into decisions and owned actions, dropping everything that was just talk.

Forecast demand, set safety stock, and plan replenishment for multi-location retail.

Uncover what customers actually think, feel, and struggle with through analysis of transcripts, surveys, reviews, and online communities.