Dataset opportunity

Flexlogistique — 工业运营数据集机会

Flexlogistique 持有的中等规模工业运营数据集,可用于工业监控和预测。

工业运营数据集时间序列工业监控🌍 Franceflexlogistique.com2026年6月26日

Confidence

49%

Market size (indicative estimate)

2024年全球数字物流市场规模为353.2亿美元,复合年增长率为19.90%(来源:Data Bridge Market Research)

Lineage

How this lead was derived

The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.

1 signals

Concrete evidence this company actively cares about data — why it's ripe for the deal room.

  • Signal

    专注于数字供应链和 WMS 集成

    source

Profile

Dataset profile

Type

工业运营数据集

Modality

时间序列

Sector

交通运输

Volume

中等

Freshness

实时

Rarity

高(专有)

Accessibility

受限

Legal

混合所有权 — GDPR 敏感(PII 审查)

Buyer persona

工业人工智能集成商

Flexlogistique 持有一个宝贵的时间序列数据集,该数据集源自其核心工业运营,包含 `event_streams`(事件流)、`industrial_data`(工业数据)和 `transaction_data`(交易数据)。这提供了对物流流的精细、实时视图,非常适合开发工业监控人工智能模型,以跟踪和优化仓库和运输效率。

此类数据的商业价值已在数字物流市场得到体现,该市场在 2024 年的估值为353.2 亿美元,预计将以19.90% 的复合年增长率增长。[5] 尽管访问复杂性要求严格的 PII(个人身份信息)匿名化处理运输地址并与 WMS/TMS(仓库管理系统/运输管理系统)提供商协调,但该运营数据的稀有性和专有性质使其成为寻求在此高增长市场中获得竞争优势的人工智能买家的引人注目的资产。⚠ 尽职调查(有价值的数据,可协商的访问权限):数据集包含终端客户 PII(运输地址),需要严格匿名化;运营数据是专有的,但库存数据由客户合同拥有;访问需要与他们的 WMS/TMS 软件提供商协调 · 公司:独立。

Scoring

Scored dimensions

Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.

这些证据共同证明 Flexlogistique 拥有一个专有的、端到端的数据集,详细说明了完整的电子商务物流生命周期。数据由从库存管理和订单准备到运输绩效和产品退货的精细时间序列事件组成。对于工业人工智能集成商而言,这个高稀有度的数据集是开发复杂的工业监控和预测优化模型的重要资产,以满足全球数字物流市场日益增长的需求,该市场预计将以 19.90% 的复合年增长率增长。

See dimension details
SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • ICP Audit100

    ✓ 好目标 — 这是一个理想的目标:一个真实的的中小型物流运营商,其核心业务是货物的运输和存储,它产生有价值的运营数据作为副产品,并且似乎没有将其作为服务出售。问题:法国实体(FLEX LOGISTIQUE FRANCE SAS)仅于 2025 年 3 月成立,是更大网络的一部分,运营中心位于波兰和格鲁吉亚;为法国实体提供的联系电话号码带有波兰国家代码(+48)。[3, 7,

  • Deep Qualification80

    ✓ 通过 — Flexlogistique 是一家专注于电子商务的 3PL(第三方物流)服务提供商,特别是为亚马逊卖家提供服务,并且不销售数据。运营数据非常合理且有价值,但所有权是混合的并包含 PII,需要仔细协商。

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds — reframed for clarity and set against the market.

press

  • <p>Site de courses en ligne évoluant dans le périmètre du groupe Prosol (Grand Frais, BioFrais Fresh), Mon Marché a choisi d’optimiser ses opérations logistiques en adoptant la solution Hardis In-Store Logistics de l’éditeur Hardis Supply Chain. Le e-commerçant s’appuyait jusqu‘ici sur un ‘simple’ outil maison pour piloter ses opérations et gérer ses flux dans son [&#8230;]</p> <p>L'article <a href="https://supplychainmagazine.fr/mon-marche-monte-en-puissance-avec-hardis-in-store-logistics/">Mon Marché monte en puissance avec Hardis In-Store Logistics</a> est apparu en premier sur <a href="htt
  • <p>FedEx Freight expects profit margin to grow by more than 9% in the back half of the year, up more than a point from last year’s growth. </p> <p>The post <a href="https://www.freightwaves.com/news/fedex-freight-forecasts-growth-as-standalone-company">FedEx Freight forecasts growth as standalone company</a> appeared first on <a href="https://www.freightwaves.com">FreightWaves</a>.</p>
  • <p>A recent change in FMCSA registration policy suggests Motus’ problems are continuing.</p> <p>The post <a href="https://www.freightwaves.com/news/latest-move-by-fmcsa-suggests-motus-rollout-woes-are-continuing">Latest move by FMCSA suggests Motus rollout woes are continuing </a> appeared first on <a href="https://www.freightwaves.com">FreightWaves</a>.</p>

Industrial data

该数据集包括时间序列数据,捕获核心仓库活动,包括库存移动、拣货和包装,这对于旨在优化库存管理和运营效率的人工智能模型至关重要。

Event streams

这些证据指向实时事件流,用于跟踪履行速度和承运商绩效,使人工智能买家能够构建用于物流监控和合作伙伴评估的预测模型。

Transaction data

持有者拥有关于产品退货的详细日志,包括原因和处理时间,为旨在降低退货率和优化逆向物流的人工智能应用程序提供了关键数据。

Marketplace

Dataset details

Geographic coverage

Global

Time range

Real-time

Update frequency

Real-time

Delivery

API

Formats

JSON, CSV

License

One-time license for industrial monitoring AI model development, with strict PII anonymization and usage restrictions.

Personal data

Contains PII

From EUR 127,000· licence· final price on request

Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.

This proprietary, real-time industrial operations dataset offers high rarity and moderate volume, directly feeding into the rapidly growing global digital logistics market. Its granular insights into logistics flows are critical for industrial monitoring AI, justifying a premium valuation.

Proprietary Supply Chain Event Data — €80,000 - €150,000Real-time Warehouse Management System (WMS) Feeds — €60,000 - €100,000

Detailed schema & sample available on access request.

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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.

Coverage

Scanned sources

https://www.flexlogistique.comfailed
https://www.flexlogistique.cominferred

Deliverable

Premium dataset report

Flexlogistique Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the mobility domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Digital Logistics market = $35.32B in 2024, CAGR 19.90% (source: Data Bridge Market Research). Investment score 67.9/100 (confidence 0.49). Recommended action: Data Sharing Agreement.

Teaser is public · premium is locked behind access.

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