Industry
The most documented AI use cases in retail and ecommerce are conversational shopping assistant, dynamic pricing and markdown optimization and demand forecasting and replenishment, across 126 public deployments by 109 organizations. Physical and online retailers and marketplaces: shopping assistance, service, merchandising, supply chain and store operations.
Ranked by the number of retail and ecommerce organizations with a public deployment, as of 11 November 2026.
An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes.
AI dynamic pricing and markdown optimization is AI that sets or recommends the regular price, promotion or markdown for every item in every store, for retail pricing teams.
Demand forecasting and replenishment is machine learning that forecasts demand for every item in every store or fulfillment center, day by day, and turns that forecast into automatic orders.
AI order fraud screening decides, at the moment an online order is placed, whether to accept it, hold it for review or decline it, for an online retailer or marketplace.
An AI order status and returns agent answers "where is my order", changes delivery details and arranges returns, exchanges and refunds for online and omnichannel shoppers.
Store and shelf monitoring is computer vision, on cameras, shelf edge sensors or autonomous robots, that scans store shelves for gaps, misplaced items and wrong prices.
AI catalog enrichment is AI that drafts and repairs product content, such as titles, descriptions and alt text, for online retailers at catalog scale.
Agentic checkout for merchants is how a retailer lets third party AI shopping agents read its catalog, build a cart and take payment while it stays merchant of record.
A store associate assistant is conversational AI on an associate's handheld or app, increasingly generative, that answers product, process, schedule and inventory questions in natural language while the associate works on the floor.
AI chargeback and representment is AI that runs the dispute engine room for issuers, acquirers and merchants, mapping each dispute to the network reason code.
109 organizations in 22 countries run these use cases in public. 66% of those 126 deployments disclose a measurable outcome.
Agentic checkout for merchants is how a retailer lets third party AI shopping agents read its catalog, build a cart and take payment while it stays merchant of record. It covers the product data, the cart and checkout endpoints and the order handling behind them.
An AI agent for supplier negotiation contacts suppliers the organization already buys from, usually in the long tail of spend, and negotiates price, payment terms or rebates with them within limits the buyer has set. Agreed terms flow back into the procurement system, and buyers handle the exceptions.
A B2B sales order capture agent is AI that reads customer orders arriving by email, WhatsApp, voicemail, PDF or fax and turns them into sales orders in the ERP. Staff review the exceptions it flags instead of retyping every line.
A branch and appointment booking agent is a conversational AI that finds the nearest suitable location and books an in person or video appointment with the right specialist. It checks opening hours and services offered, and records the visit reason so staff are prepared. In banking it answers where the nearest branch is and books the mortgage or business banker; retail, healthcare and property have the same job.
AI data quality monitoring is an AI agent that watches data pipelines and tables continuously and flags anomalies before they reach a dashboard or a downstream model. It uses machine learning to learn the normal pattern of freshness, volume, schema and distribution for each one, and traces the lineage back to the change that caused an anomaly so an engineer can fix the source and not only treat the symptom.
An AI first line contact center agent answers inbound customer contact on phone, chat and messaging, resolving general and routine questions end to end in the customer's own language. It routes everything complex, sensitive or regulated to the right human team, with the context attached.
An AI agent for IT service desk resolution takes the high volume IT support queue, resolves common requests and hands the rest to the right resolver group. It runs in Microsoft Teams, Slack or the intranet, covers requests such as password and MFA resets, account unlocks, VPN, device and software requests, and acts in the identity and IT service management systems, attaching the context when it hands a request on.
An AI order status and returns agent answers "where is my order", changes delivery details and arranges returns, exchanges and refunds for online and omnichannel shoppers. It does this end to end, by reading and writing to the order, carrier and returns systems within the retailer's policy, and hands exceptions such as damaged goods, disputes and upset customers to a person.
Agentic payment initiation is an AI agent that initiates and completes payments or purchases on a customer's behalf, within a mandate the customer set in advance. The mandate sets spending caps, allowed merchants or categories, a tokenized credential and rules for when to ask for confirmation, and the agent then confirms and reconciles every transaction it made.
Procurement and contract review is an assistant that reads supplier contracts and proposals, for procurement and vendor management teams. It extracts the key terms, flags deviations from the organization's standard positions, drafts requests for proposal and evaluation matrices, and prepares negotiation positions, with a procurement or legal owner approving every conclusion.
A store associate assistant is conversational AI on an associate's handheld or app, increasingly generative, that answers product, process, schedule and inventory questions in natural language while the associate works on the floor. The associate decides what to tell the customer and does the task; the assistant supplies the answer and its source.
AI cash flow forecasting for corporate treasury is machine learning that categorizes a company's cash flows and forecasts its cash positions across accounts and currencies for the treasury team. Conversational analytics can sit on top of it. Some banks offer it inside their cash management platforms, where it also answers treasurers' questions in plain language, so the team decides on funding and idle balances with better information and less spreadsheet work.
Store and shelf monitoring is computer vision, on cameras, shelf edge sensors or autonomous robots, that scans store shelves for gaps, misplaced items and wrong prices. It turns what it sees into a prioritized task list for store staff or field sales representatives, so out of stock and shelf compliance problems are caught within hours instead of at the next manual walk.
Demand forecasting and replenishment is machine learning that forecasts demand for every item in every store or fulfillment center, day by day, and turns that forecast into automatic orders. It draws on sales history, promotions, prices, weather and local events, and places store and warehouse orders within limits set by planners, who handle the exceptions.
AI dynamic pricing and markdown optimization is AI that sets or recommends the regular price, promotion or markdown for every item in every store, for retail pricing teams. It draws on demand, cost, competitor prices, inventory and, for perishables, how close the item is to its best before date, so pricing analysts manage exceptions and strategy instead of spreadsheets.
AI cash application is AI that reads remittance advices in many formats and matches incoming customer payments to open receivable invoices for accounts receivable teams. It proposes deduction and short pay reason codes from prior resolutions and routes only the genuine exceptions to an analyst, so the sub ledger clears itself for the clean majority of payments.
AI chargeback and representment is AI that runs the dispute engine room for issuers, acquirers and merchants, mapping each dispute to the network reason code. It gathers the matching evidence, assembles a network compliant chargeback or representment package, drafts the rebuttal, tracks every deadline and processes pre dispute alerts so a refund can be issued before a chargeback lands.
AI customs classification and declaration is AI that reads what is being shipped and proposes the tariff classification code for a customs declaration. It uses the commercial invoice, the product data and sometimes a photo, gives its reasoning and a confidence score, drafts the declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.
AI supplier invoice processing is AI that captures supplier invoices in any format and extracts the header and line data. It matches invoices to purchase orders and goods receipts, proposes tax and cost center coding, flags duplicates and suspected fraud, and routes them for approval and posting, leaving only exceptions to accounts payable staff.
Threat intelligence collection and reporting is AI that gathers threat reports, extracts the indicators and drafts summaries and briefings for a human analyst to check and send. It watches news, vendor blogs, advisories and filings against the organization's own priorities, pulls out threat actors, vulnerabilities and indicators of compromise, and writes the first version of the daily digest, the incident report or the customer newsletter.
AI customer feedback analysis is AI that reads every piece of free text customer feedback and turns it into themes, sentiment and actions for a named owner. The feedback can be survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and the analysis also identifies drivers, so the organization hears all of its customers instead of a sample.
AI generated ad creative production and testing is generative AI that creates the images, video and copy variants a paid media campaign needs, for marketers. It scores or tests the variants against real performance data and lets a marketer pick, adjust and publish the ones that work, instead of a manual shoot and edit for every format and audience segment. This page covers making and testing the creative itself; choosing which offer or message to show which customer is covered separately under AI marketing personalization at scale.
AI content localization translates and adapts an organization's commercial content for each market and language, so marketing and product teams can reach customers in their own language. It works across campaigns, emails, product pages, help content and websites, using the brand's glossary, style guide and past approved translations, then routes output to human linguists and local marketers for review in proportion to how visible and risky the content is.
AI loss prevention at self checkout uses cameras and computer vision to spot items that were not scanned and to prompt the shopper to fix them. Some retailers also check the cart against the receipt at the exit, leaving final checks to staff.
Retail and ecommerce, Travel and hospitality
AI loyalty personalization is AI that picks the offer, reward or message for each member of a retail, restaurant or travel loyalty program, inside the program's published rules. It unifies a member's profile across channels and predicts who is about to lapse, so each member gets a tailored action instead of the same blanket discount or point multiplier, and what a member has earned stays unchanged.
Deployments: 4 public, best grade B
Reported conversion uplift: 2x (Panera Bread, vendor claim)
Cross industry, Travel and hospitality
AI marketing personalization at scale is AI that decides, for each customer, which product, offer, message or content to show next, for a marketing team running many campaigns. It works across email, app, web and paid media, and generates the matching copy and creative variants within brand and compliance rules. It is the team's engine across many campaigns and channels, not an agent that converses with the customer.
Deployments: 9 public, best grade B
Reported conversion uplift: 30% (Catchtable, vendor claim)
Retail and ecommerce
AI order fraud screening decides, at the moment an online order is placed, whether to accept it, hold it for review or decline it, for an online retailer or marketplace. It draws on the buyer's device, behavior, identity and order history, so genuine orders are approved quickly and fraudulent ones are stopped before they ship, often backed by a vendor guarantee against the chargebacks that slip through.
Deployments: 9 public, best grade C
Reported revenue uplift: 6% (Mango, vendor claim)
Cross industry, Manufacturing
An AI platform for frontline and deskless workforce communication is a mobile platform that reaches employees who have no company email or desk, such as plant, store and field staff. It delivers shift schedules, safety updates and two way messaging, with AI powered machine translation showing every message in each employee's own language, and content targeted to the right site, shift or role by rule, instead of one broadcast to everyone.
Deployments: 3 public, best grade C
Reported employee adoption: 96% (Amsted Rail, vendor claim)
Retail and ecommerce, Cross industry
AI catalog enrichment is AI that drafts and repairs product content, such as titles, descriptions and alt text, for online retailers at catalog scale. It also extracts missing attributes such as color, size and material from supplier text and product images, and checks its own output before the content is published to the store and to search engines. A human owns the rules, the quality thresholds and the exceptions.
Deployments: 6 public, best grade B
Reported accuracy: about 75% (Zalando, organization claim)
Cross industry, Banking
Call quality and compliance monitoring is automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric. It checks required disclosures and script adherence, flags conduct and mis selling risk, and surfaces coaching opportunities, instead of the small sample a human QA team can review.
Deployments: 12 public, best grade B
Reported quality score uplift: about 10% (British Gas, vendor claim)
Cross industry, Manufacturing
Sales quote and estimate generation is AI that turns a customer's product list, drawing, roof photo or request for quotation into a draft quote for a seller or estimator. It reads the input, matches items to the catalog, calculates quantities and applies the organization's price rules, and the seller or estimator then checks and sends it.
Deployments: 4 public, best grade C
Reported handling time reduction: 87.5% (Enpal, vendor claim)
Logistics and transportation, Retail and ecommerce
AI route optimization is software that plans which vehicle serves which stops, in what order and with what load, to cut miles, cost and late deliveries. It takes the day's orders, vehicle capacities, delivery windows and estimated travel times, produces the routes overnight, and in newer versions replans during the day as traffic and orders change.
Deployments: 5 public, best grade B
Autonomy: Copilot
Cross industry, Retail and ecommerce
An AI conversational shopping assistant answers product questions and recommends items from a retailer's own catalog, for a need, project or occasion a shopper describes. It works on the retailer's site or app, compares items grounded in the retailer's product data, reviews and stock, and hands the shopper to a basket, a store or a human expert.
Deployments: 13 public, best grade B
Median conversion uplift: 100% (3 deployments)
Retail and ecommerce
AI size and fit recommendation tells an online shopper which size of a garment or shoe to buy, based on how the item fits and the shopper's history. It draws on the item's measured fit, the shopper's purchase and return history and, optionally, body measurements. It aims to prevent the returns that wrong sizes cause and to raise conversion.
Deployments: 4 public, best grade B
Median error reduction: 4% (3 deployments)
Manufacturing, Retail and ecommerce
Trade promotion optimization is AI that plans and prices the trade promotions, discounts, displays and rebates a consumer goods manufacturer runs with retailers. It forecasts the volume each promotion mechanic would generate and searches the combinations of timing, depth and mechanic that best meet a revenue, profit or volume target, for a key account manager to review and agree with the retailer.
Deployments: 2 public, best grade B
Autonomy: Copilot
Retail and ecommerce, Education
Physical security video analytics is AI that watches camera feeds or walk through sensors at a site and flags a likely weapon, intrusion or theft. It works in real time or on search, and leaves the verification and every response action to a human guard or investigator, rather than acting on its own.
Deployments: 13 public, best grade B
Reported search time reduction: at least 90% (Kogan, vendor claim)
Retail and ecommerce
AI workforce scheduling for retail stores builds staff schedules from forecast sales, foot traffic, labor rules and each employee's preferences and skills for a store manager. The manager gets a compliant, demand matched schedule quickly, and only has to handle exceptions such as a late call out or a disputed shift swap.
Deployments: 4 public, best grade C
Reported employee adoption: 100% (SMCP North America, vendor claim)
Cross industry, Banking
A governed text to SQL analytics assistant turns a business user's plain language question into a query against governed data. It runs the query under that user's own data permissions and returns the table or chart together with the SQL and the tables used, so routine ad hoc questions no longer queue for the data team.
Deployments: 8 public, best grade B
Autonomy: Assist
Cross industry, Banking
Live agent assist is AI that helps a contact center agent during a live call or chat by transcribing it and surfacing the right knowledge and next step. It also drafts responses and writes the after call summary and CRM notes, while the agent stays in control of what is said and done.
Deployments: 26 public, best grade B
Median handling time reduction: 35% (4 deployments)
Free PDF playbook
39 use cases with deployments, value, playbooks and governance, in one document for your team.
Computed from the 126 public deployments behind these use cases at retail and ecommerce organizations. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Conversion uplift | 60% | -67% to 100% | 7 | 5 organization, 2 vendor |
| Productivity gain | 50% | 30% to 80% Not pooled: up to 90% | 5plus 1 up to | 1 organization, 4 vendor |
| Customer satisfaction | 90% vendor reported | 82.5% to 98% | 5 | 5 vendor |
| Containment rate | 38.5% | 30% to 47% | 4 | 2 organization, 2 vendor |
| Error reduction | 6% | 0.4% to 90% | 4 | 1 organization, 3 vendor |
| Conversion uplift | 2.5x vendor reported | 2x to 3x | 3 | 3 vendor |
265 public deployments at 250 organizations outside retail and ecommerce run these use cases too. They are not counted in the numbers above; each use case page shows them.
Where AI runs in this industry, compared with the whole library.
Which of these use cases are high risk, and why.
Search and filter the whole library.
Aggregate findings across every record.
Definitions and reported values per KPI.
How every record is verified and graded.
