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Use cases in retail and CPG | H2O.ai

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 or listens to every recorded customer call, writes a short summary of what happened, and flags whether the issue was resolved so your team can follow up first.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 one offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer instead of one campaign for everyone.Retail customer churn and lifetime valueA churn score ranks which shoppers are 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, then returns a company's strategic priorities, key results and opportunities, with the source cited for each point.

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 one offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer instead of one campaign for everyone.Retail customer churn and lifetime valueA churn score ranks which shoppers are 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 small, well-defined microsegments by shared behavior and intent, so your marketers can target and explain who is most likely to respond to each message.Voice of the customer analysisAI voice of the customer analysis reads customer comments from surveys, reviews, and store kiosks, finds the sentiment and topics behind them, and turns them into a weekly report with recommended 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 your 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 evaluation questions with a citation to the source.Supplier document validation against the ERPSupplier document validation reads supplier contracts, purchase orders, invoices and certificates of analysis, checks each value against your ERP, and sends only the mismatches to a person.

Other

2 use cases

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

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