truemetrics GTM brain

truemetrics sells entrance and parking location intelligence to parcel carriers and last-mile delivery operators.

category

Last-mile location intelligence

market profile

  • text: Address pins can miss the actual entrance, extending the walking and search time after a courier arrives.
  • text: A European parcel carrier, GLS, is reported to use the technology to reduce delivery time; published results should be validated in the buyer's own network.

personas

  • title: Head of last-mile operations
    pains:
    • Stop times compound across thousands of urban deliveries.
    • Couriers lose time finding parking and the correct entrance.
  • title: Director of courier technology
    pains:
    • Navigation to an address pin does not solve the last meters to the door.
    • Adding better coordinates must fit the existing driver app and deployment process.
  • title: Delivery performance manager
    pains:
    • Scan events alone do not reveal time walking or entering buildings.
    • Operational improvement needs comparable stop-level measurements.

icp

  • text: Parcel carriers and delivery platforms with dense urban routes and repeated delivery stops, including European networks.
  • text: Operators with a courier mobile app and engineering capacity to integrate an SDK.
  • text: Larger delivery fleets where seconds per stop materially affect labor cost, and growing delivery startups seeking better navigation.

message pillars

  • text: Guide drivers to the actual doorstep.
  • text: Improve stop efficiency using observed parking and entrance locations.
  • text: Add the capability to an existing courier application.

objections

  • objection: Will the claimed time savings apply to our geography and route mix?
    response: Propose a controlled pilot with representative routes, coverage measurements and a stop-time baseline.
  • objection: Will the SDK create driver app or privacy problems?
    response: Review integration requirements and data handling with engineering and privacy stakeholders before a limited deployment.

competitors

  • name: doorstep.ai
    why: Listed as a nearby alternative for drop-off and delivery intelligence.
  • name: Onfleet
    website: https://en.wikipedia.org/wiki/Onfleet
    why: Broader last-mile delivery software is an adjacent alternative for managing courier operations.
  • name: Google Maps
    why: General navigation is an incumbent alternative for getting drivers to an address, although it does not focus on the final entrance problem.

influencers

  • name: Ingo Boegemann
    url: https://www.truemetrics.io/
    why: CEO and co-founder, named as the site's contact for meetings.

keywords

  • last mile entrance data
  • courier parking location
  • delivery navigation SDK
  • building entrance coordinates
  • parcel stop time reduction
  • last mile delivery analytics

voice

  • Direct and operational
  • Quantified
  • Developer-aware

signals

  • text: A carrier is rebuilding its courier app or measuring stop time to improve delivery productivity.
  • text: A fleet has dense urban deliveries with complex entrances and parking constraints.

stack

  • Mobile SDK

pricing

model: unknown

motion

sales_led

channels

  • website
  • LinkedIn
  • industry events

confidence

medium

Founders

  • name: Ingo Boegemann
    title: Founder
    role: Founder
    bio: Studied mechanical engineering at the technical university of Hamburg and at UC Berkeley Worked in tech consulting for almost 10 years with a focus on supporting classical European tech companies (automotive, aerospace, etc. ) Founded my own consulting company which I exited to a competitor in 2020 Started working on sensor fusion technologies which are part of truemetrics core tech stack in 2020 In my free time I love to the outdoors, especially camping and surfing
  • name: Jan Bischof
    title: Founder
    role: Founder
    bio: Jan Bischof is a highly skilled and accomplished software engineer with a strong background in artificial intelligence research. With a passion for developing innovative solutions, Jan has a proven track record of designing and implementing cutting-edge algorithms and software systems. He possesses excellent problem-solving abilities and a deep understanding of machine learning techniques, making him a valuable asset in the field of AI and software development.

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