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A store manager checks a stock dashboard on a tablet in a clothing store

Retail and CPG
Use Cases

Each part of a retailer or consumer brand has its own problems, data, and customers. Find the use cases for yours.

13 use cases

Search use casesAll departments

Engagement

4 use cases

Call summary and resolutionGenerative AI reads every recorded customer call, writes a summary of what happened, and flags whether the issue was resolved so your team can follow up.Content and product personalization for marketingPredictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.Next best action and offerMachine learning that ranks the offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer.Retail customer churn and lifetime valueA churn score ranks shoppers likely to lapse, paired with a lifetime value score for what each is worth, so retention budget goes where it saves the most.

Finance

1 use case

Strategic insight summarizerAn AI assistant that reads annual reports, earnings releases and company websites and returns strategic priorities, key results and opportunities, all cited.

Marketing

6 use cases

Content and product personalization for marketingPredictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.Lead scoringAI lead scoring ranks every lead by how likely it is to become an opportunity and revenue, learning from the leads that converted and the ones that did not.Next best action and offerMachine learning that ranks the offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer.Retail customer churn and lifetime valueA churn score ranks shoppers likely to lapse, paired with a lifetime value score for what each is worth, so retention budget goes where it saves the most.Smart segmentationAI smart segmentation groups customers into microsegments by shared behavior and intent, so marketers can target and explain who is most likely to respond.Voice of the customer analysisAI voice of the customer analysis reads comments from surveys, reviews, and store kiosks, finds sentiment and topics, and writes a weekly report with actions.

Supply chain

3 use cases

Forecasting demand by product, region and routeAI forecasts how much of each product will sell by store, region, season and delivery route, so planners and route teams can order and stock ahead of demand.RFP and procurement automationAI RFP and procurement automation reads your RFP and every vendor proposal, compares them on scope, pricing and terms, and answers questions with citations.Supplier document validation against the ERPRead supplier contracts, purchase orders, invoices and certificates of analysis, check each value against your ERP, and send only mismatches to a person.

Other

2 use cases

Assortment optimizationMachine learning predicts which items will sell at each store from past sales, space, local trends and weather, so you stock what sells and mark down less.Pricing optimizationAI pricing optimization predicts how each item's demand responds to price, season, inventory, and competing offers, then suggests prices your team approves.

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