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MongoDB Retail France

Monoprix

Document Processing

The best-suited solution TOL tackles multiple challenges, including the need for easy processing of various types of documents and the need to email each customer their receipt before they leave the store.

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An early start In 2021 Monoprix began designing its initial solution for digitizing receipts based on information provided by the Association for Retail Technology Standards (ARTS), an international organization dedicated to reducing technology costs in the retail sector.
Its 22,000 employees operate a robust network of more than 842 stores in city centers, serving more than 3 million customers daily and making 3.1 million annual deliveries.
Monoprix handles 700,000 to 1 million transactions per day, with an average yearly revenue of €5 billion.

Reported impact

Business outcome

Today, Monoprix is using AI to build models for improved revenue forecasts of its future franchises, and it is actively planning for the integration of AI into its TOL solution.

  • Compliance
  • Customer Experience
  • Productivity Improvement

Solution

The best-suited solution TOL tackles multiple challenges, including the need for easy processing of various types of documents and the need to email each customer their receipt before they leave the store. Today, Monoprix is using AI to build models for improved revenue forecasts of its future franchises, and it is actively planning for the integration of AI into its TOL solution. Monoprix successfully digitizes its receipts with MongoDB Industry Retail Product MongoDB Atlas MongoDB Professional Services Use Case Modernization Gen AI Customer since 2021 Monoprix , an umbrella of several brands, has been transforming urban retail for over 90 years.

Data flow

Operational events and application data flow into MongoDB Atlas, where the platform stores current state and supports real-time queries for downstream applications.

Solution architecture

1 components · 1 layer
  1. Storage
    • MongoDB Atlas Stores the operational data and provides the managed document database foundation for Monoprix's workload.

Architecture clues

  • APIs are a key integration layer in the application architecture.
  • The solution uses a microservices-based architecture.

Evidence from the source

Its 22,000 employees operate a robust network of more than 842 stores in city centers, serving more than 3 million customers daily and making 3.1 million annual deliveries.
Monoprix handles 700,000 to 1 million transactions per day, with an average yearly revenue of €5 billion.
The best-suited solution TOL tackles multiple challenges, including the need for easy processing of various types of documents and the need to email each customer their receipt before they leave the store.
Today, Monoprix is using AI to build models for improved revenue forecasts of its future franchises, and it is actively planning for the integration of AI into its TOL solution.
Transparency Evidence & methodology 85/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value85/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale0/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. MongoDB

    Monoprix customer story

    First-party
    https://www.mongodb.com/solutions/customer-case-studies/monoprix
    Source type
    Vendor-published customer story
    Published
    May 26, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page May 26, 2025 · MongoDB · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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