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Business function

AI use cases for product and pricing

The most documented AI use cases for product and pricing are dynamic pricing and markdown optimization, pricing and actuarial copilot and in car voice assistant, across 60 public deployments by 60 organizations. Designing, pricing and managing products and offers.

Use cases
11
Deployments
60
Organizations
60
Outcome disclosed
43%

The 10 most common AI use cases for product and pricing

Ranked by the number of organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI dynamic pricing and markdown optimization for retail

    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.

    12 organizations
  2. 2
    AI copilot for insurance pricing and actuarial analysis

    An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data.

    9 organizations
    5x productivity gain
    one deployment, organization claim
  3. 3
    Generative AI voice assistant in the car

    An in car AI voice assistant is a voice assistant built into the vehicle that uses a large language model to hold a natural conversation with the driver and passengers.

    9 organizations
  4. 4
    AI copilot for hotel revenue management

    A hotel revenue management copilot is an employee facing AI system that forecasts hotel demand and recommends or automatically adjusts room prices within limits a revenue manager sets.

    8 organizations
    25.2% median revenue uplift
    4 deployments
  5. 5
    AI assistant for B2B telecom quoting, sales and service

    A B2B telecom quoting and service assistant is an AI that answers business customers' product, pricing and contract questions and prepares configurations and quotes for connectivity, mobile fleets and devices.

    5 organizations
    70% containment rate
    one deployment, organization claim
  6. 6
    AI assistant for goal based financial planning

    An AI assistant for goal based financial planning is an AI assistant that turns a client's goals into projections and what if scenarios using a rules based planning engine.

    4 organizations
  7. 7
    AI for parametric insurance claims triggering

    AI for parametric claims triggering builds the index a parametric insurance policy pays against, then measures the triggering event itself, such as a wildfire's extent once it happens.

    4 organizations
  8. 8
    AI quote and estimate generation from customer requirements

    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.

    4 organizations
    87.5% handling time reduction
    one deployment, vendor claim
  9. 9
    AI assistant for Shariah compliance screening and review

    AI Shariah compliance screening is an AI assistant that checks Islamic financing contracts, deal structures and investments for Shariah compliance risks such as riba and gharar, for compliance teams.

    2 organizations
  10. 10
    AI trade promotion optimization for consumer goods manufacturers

    Trade promotion optimization is AI that plans and prices the trade promotions, discounts, displays and rebates a consumer goods manufacturer runs with retailers.

    2 organizations

11 Product and pricing use cases

60 organizations in 21 countries run these use cases in public. 43% of those 60 deployments disclose a measurable outcome.

Telecommunications

AI assistant for B2B telecom quoting, sales and service

A B2B telecom quoting and service assistant is an AI that answers business customers' product, pricing and contract questions and prepares configurations and quotes for connectivity, mobile fleets and devices. It also serves the sellers who look after these accounts, drafts responses to tenders, and handles routine service requests and fault tickets, with a sales or service specialist approving anything binding.

Deployments
5 public, best grade B
Reported containment rate
70%
SoftBank Corp., organization claim
Wealth and asset managementBanking

AI assistant for goal based financial planning

An AI assistant for goal based financial planning is an AI assistant that turns a client's goals into projections and what if scenarios using a rules based planning engine. It explains the trade offs in plain language and prepares the plan for an advisor to validate, with every assumption disclosed and reproducible.

Deployments
4 public, best grade B
Autonomy
Copilot
BankingWealth and asset management

AI assistant for Shariah compliance screening and review

AI Shariah compliance screening is an AI assistant that checks Islamic financing contracts, deal structures and investments for Shariah compliance risks such as riba and gharar, for compliance teams. It also flags exposure to prohibited activities, retrieves the relevant standards and fatwas, and drafts the Shariah review documentation. The Shariah board keeps sole authority over any ruling.

Deployments
2 public, best grade B
Autonomy
Copilot
Travel and hospitality

AI copilot for hotel revenue management

A hotel revenue management copilot is an employee facing AI system that forecasts hotel demand and recommends or automatically adjusts room prices within limits a revenue manager sets. It forecasts demand for a hotel or portfolio by date, room type and segment, also adjusts availability controls, and scores group and event enquiries for true profitability, so a small revenue team can run pricing that used to need daily manual adjustment in the property management system.

Deployments
8 public, best grade C
Median revenue uplift
25.2%
4 deployments
Insurance

AI copilot for insurance pricing and actuarial analysis

An insurance pricing and actuarial copilot is AI that speeds up the work of pricing and actuarial teams, from risk and demand model building to natural language analysis of data. It builds automated, transparent risk and demand models and analyzes rate filings, experience data and reserving diagnostics, while actuaries select the models, sign off the rates and own the professional judgment.

Deployments
9 public, best grade B
Reported productivity gain
5x
Generali France, organization claim
Retail and ecommerce

AI dynamic pricing and markdown optimization for retail

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.

Deployments
12 public, best grade B
Autonomy
Supervised agent
BankingPayments and cards

AI for fee and interest leakage detection

Fee and interest leakage detection is an independent verification layer that checks whether each fee, FX margin, spread and interest charge matches what the contract and pricing tables specify. It recomputes what each charge should have been, compares it with what was actually billed, and surfaces overcharges and undercharges account by account for correction, customer remediation and revenue recovery.

Deployments
1 public, best grade B
Autonomy
Copilot
Insurance

AI for parametric insurance claims triggering

AI for parametric claims triggering builds the index a parametric insurance policy pays against, then measures the triggering event itself, such as a wildfire's extent once it happens. The models are trained on historical, simulated and satellite or radar data, and their output lets a deterministic engine calculate and release the payout without an adjuster assessing the loss on site.

Deployments
4 public, best grade B
Autonomy
Autonomous
Cross industryManufacturing

AI quote and estimate generation from customer requirements

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
ManufacturingRetail and ecommerce

AI trade promotion optimization for consumer goods manufacturers

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
Automotive

Generative AI voice assistant in the car

An in car AI voice assistant is a voice assistant built into the vehicle that uses a large language model to hold a natural conversation with the driver and passengers. It controls comfort, navigation and media functions, answers questions about the car and the world, and keeps the vehicle's own commands and data under the car maker's control.

Deployments
9 public, best grade B
Autonomy
Autonomous

What the evidence says

Computed from the 60 public deployments behind these use cases. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Product and pricing use cases
KPIMedianReported rangeData pointsClaimed by
Revenue uplift25.2%
21% to 33%
43 organization, 1 vendor
Industries these use cases also serve
AI patterns used
Deployments by stage
  • Announced
    5
  • Pilot
    1
  • Production
    41
  • Scaled
    13
Public deployments by region
  • North America
    21
  • Europe
    21
  • Asia Pacific
    8
  • Latin America
    5
  • Middle East
    4
  • Global
    1

Organizations with a public deployment

  • AXA Spain
  • Academy Sports + Outdoors
  • Accelerant Holdings
  • Albert Heijn
  • Amanta Hotels & Residencies
  • BMW Group
  • BYD
  • CIMB Niaga
  • Canal Insurance Company
  • Canopius Group
  • City of Fremont
  • Coborn's, Inc.
  • DBS Bank
  • DeAcero
  • Delhaize America
  • Descartes Underwriting
  • Drogaria Araujo
  • Enpal
  • Europ Assistance
  • General Authority of Endowments, Qatar
  • General Motors
  • Generali France
  • Generali Italia
  • Grupo Posadas
  • Grupo Ramos
  • Henkel
  • Holiday Stationstores
  • Honda
  • Hôtel Swexan
  • Kempinski The Capitol Singapore
  • Kinsale Capital Group
  • Liberty Mutual
  • Lumen Technologies
  • MAIF
  • Majid Al Futtaim Retail
  • Mercedes-Benz Group
  • NIO
  • Nayara Resorts
  • Outrigger Resorts and Hotels
  • Panda Retail Company
  • PepsiCo
  • Pyramid Global Hospitality
  • RIMC Hotels & Resorts Group
  • Renault
  • Rimi Baltic
  • Saudia Cargo
  • Savvy Wealth
  • SoftBank Corp.
  • Southern Co-op
  • State Bank of India
  • Stellantis
  • Telefónica España
  • The ODP Corporation
  • Tractor Supply Company
  • Vanguard
  • Verizon
  • Vodafone Business
  • Volkswagen
  • Wakam
  • Zoya

Frequently asked questions

What are the most common AI use cases for product and pricing?
Counted by organizations with a public deployment, the most common are AI dynamic pricing and markdown optimization for retail (12 organizations), AI copilot for insurance pricing and actuarial analysis (9 organizations), generative AI voice assistant in the car (9 organizations), AI copilot for hotel revenue management (8 organizations) and AI assistant for B2B telecom quoting, sales and service (5 organizations). The library documents 11 AI use cases for product and pricing, 11 of them with a public deployment: 60 deployments by 60 organizations in 21 countries.
How many of these AI deployments are live in production?
54 of the 60 public deployments are live: 41 in production and 13 scaled across the organization. 1 are pilots and 5 are announced.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.

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KPI benchmarks

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Methodology

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