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Geopost: History, Regions & Companies
Geopost SA (formerly DPDgroup) is a French multinational logistics company and an international parcel delivery service for sorter compatible parcels based in Issy-les-Moulineaux, France. Until 2015 DPD stood for Dynamic Parcel Distribution. Its brands are DPD, Chronopost, Seur, Speedy AD and BRT. The company is based in France and operates mainly in the…
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Geopost topic overview
The analysis highlights History, Regions and Companies as prominent areas in the source structure around Geopost.
Related topics
63
Source areas
5
Connected nodes
68
Extracted relationships
103
Concept neighborhoods
18
Bridge connections
68
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Activities · 31 topics
Overview · 13 topics
Strategy · 8 topics
History · 7 topics
Controversy · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
1999; 27 years ago (1999) in Paris, France
Industry
Courier
Owner
La Poste
Headquarters
Issy-les-Moulineaux, France
Areas served
Worldwide
Formerly
DPDgroup (2015–2023)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Geopost connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Geopost shows recurring relationship patterns in the source. For example, Geopost → April, Belgium, Biocair, BioLogistic, Chronopost, Chronopost's Chronofresh, DPDgroup, Eindhoven, Estonia, Europe, Finally, France, French, Geopost's, Germany, Groupe ALP, Hungary, In, International, Latvia Another extracted example is Geopost → Austria, Belarus, Belgium, BRT, Bulgaria, Chronopost, Croatia, Czech Republic, DPD, Estonia, Europe, France, Germany, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands. Use these groups to spot repeated connection types before inspecting the individual relationships.
Geopost
Top relations
related to Strategy· 37
Geopost → April, Belgium, Biocair, BioLogistic, Chronopost, Chronopost's Chronofresh, DPDgroup, Eindhoven, Estonia, Europe, Finally, France, French, Geopost's, Germany, Groupe ALP, Hungary, In, International, Latvia
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 103 structured relationships around Geopost. Examples in this analysis include Geopost → Areas served → Worldwide and Geopost → Formerly → DPDgroup (2015–2023). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Geopost
Areas served
Worldwide
1.00
infobox
Geopost
Formerly
DPDgroup (2015–2023)
1.00
infobox
Geopost
Founded
1999; 27 years ago (1999) in Paris, France
1.00
infobox
Geopost
Headquarters
Issy-les-Moulineaux, France
1.00
infobox
Geopost
Industry
Courier
1.00
infobox
Geopost
Key people
Yves Delmas (CEO)
1.00
infobox
Geopost
Number of employees
55,000 (2024)
1.00
infobox
Geopost
Owner
La Poste
1.00
infobox
Geopost
Revenue
€15.8 billion (2024)
1.00
infobox
Geopost
Services
Parcel delivery Express mail freight forwarding Third-party logistics
1.00
infobox
Geopost
Subsidiaries
DPD BRT Chronopost CitySprint Seur Speedy AD Jadlog Ninja Van (40%) DTDC (42%)
1.00
infobox
Geopost
Trade name
Geopost SA
1.00
infobox
Geopost
Type
Limited
1.00
infobox
Geopost
Website
geopost.com
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Geopost bring nearby vocabulary together. In this analysis, examples include Parcel, Dpd and International. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Geopost
Parcel
Dpd
International
Operates
Service
Seur
Chronopost
La
Poste
Company
France
Brazil
geopost
Parcel
Dpd
International
Operates
Service
Seur
Chronopost
La
Poste
Company
France
Brazil
parcel delivery
Service
Market
Express
International
Dpdgroup
France
Parcel
Brt
Germany
Operates
Courier
Parcels
chronopost
France
Speedy
Seur
Brt
Dpd
Also
La
Poste
Geopost
Company
Europe
Express
france
Spain
Service
Chronopost
International
Seur
Germany
Express
Parcel
Parcels
Issy-les-moulineaux
Geopost
Billion
brt
Speedy
Logistics
Service
Seur
Chronopost
International
Parcel
Issy-les-moulineaux
Dpd
Also
Billion
Company
europe
Also
Asia
India
Brazil
Operates
Geopost
La
Poste
Speedy
Germany
International
Services
logistics
Issy-les-moulineaux
Service
Brt
Parcel
Billion
La
Poste
Speedy
Worldwide
Courier
Express
Parcels
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Geopost, one of the stronger structural bridges in this analysis connects Geopost with Activities. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Geopost
Nodes69
Edges68
Triples103
Avg. degree1.97
Density0.028986
Components1
Source & methodology
TTTA analyzes the structure around Geopost to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Regions & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
