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Company profile

Optrak Distribution Software Limited

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CRN
02327613
Founded
1988
Age
37

Overview

Legal name
OPTRAK DISTRIBUTION SOFTWARE LIMITED
Region
East of England
Registered address
6 THE MALTINGS
HOE LANE
WARE
HERTFORDSHIRE
SG12 9LR
Insolvency history
No

Latest accounts

Financial period: 1 Dec 2023 to 30 Nov 2024

FULLACCOUNTS
Turnover
Unknown
Profit / Loss
Unknown
Employees
9

Company events

Reference milestones and recent Companies House filing stream events.

5 events
15 Feb
2027

Confirmation statement due

Confirmation Due

Next confirmation statement due date

31 Aug
2026

Accounts due

Accounts Due

Next accounts due date

01 Feb
2026

Confirmation statement filed

Confirmation

Last confirmation statement made up date

30 Nov
2024

Accounts filed

Accounts

Last accounts made up date

12 Dec
1988

Incorporated

Inception

Company registered at Companies House

Public funding

6 awards
First funded
2010
Funded years
2010, 2020, 2023, 2024
Age at first award
21 years

Projects

2024 Demonstrator Lead participant

Development of an EV-Enabled Route Planning Tool for Domestic Waste Collection with Supporting Local Authority eRCV Trials

1 Jul 2024 to 31 Mar 2025

Awarded
£201,202
Total cost £287,431

Local Authorities are under considerable pressure to demonstrate leadership in the area of decarbonisation, and no element of their service is more 'visible' than their refuse collection operations. At the same time as fleet managers are being asked to decarbonise their vehicles, the range of demands placed on them is increasing. As refuse collection vehi...

2023 Collaborative R&D Lead participant

An innovative route optimisation software for hybrid and EV last mile delivery fleets using GUI and cloud-based data to reduce CO2 emissions by 88K tonnes by 2025

1 May 2023 to 31 Oct 2024

Awarded
£335,112
Total cost £478,732

There are currently no fleet-management solutions for planning efficient routes and charging for EV last mile fleets. This creates a substantial roadblock for companies that would switch from diesel- or petrol-powered vehicles to electronic ones in line with the UK's Net-Zero goals for 2030\. Current solutions for managing EV fleets do not consider consum...

2020 Collaborative R&D Lead participant

A web-based experimental optimiser for supermarket home deliveries to improve efficiency and sustainability in response to the substantial growth in demand as a result of COVID-19

1 Nov 2020 to 31 Jul 2021

Awarded
£99,967
Total cost £104,897

Current supermarket home delivery mechanisms typically offer users an inflexible set of slots (usually 2 hours for food) which fail to make maximum use of the customer's actual time at home and rule out delivery times for customers for whom the rigid slot boundaries do not align with out-of-home activities. The project will deliver and integrated slot boo...

2020 Collaborative R&D Lead participant

A web-based SaaS application to improve the efficiency and sustainability of the home-delivery/courier sector impacted by COVID-19

1 Oct 2020 to 30 Jun 2021

Awarded
£144,014
Total cost £180,017

This project is for a web-based SaaS application to improve the efficiency of the home-delivery/courier services to handle the highly unpredictable and fluctuating delivery quantities seen in the current COVID-19 situation. Optrak has identified a viable strategy to deliver a unified depot-level planning system that can: * Cope with highly varying demand ...

2020 Knowledge Transfer Partnership

University of Nottingham and Optrak Distribution Software Limited

1 Jan 2020 to 30 Sep 2022

Awarded
Unknown

To develop and implement novel and advanced, hyper-heuristics based routing technologies for standard and non-standard haulage markets.

2010 Collaborative R&D Lead participant

Tell Us When

1 Jun 2010 to 31 May 2013

Awarded
£243,000
Total cost £498,328

11.5% of home deliveries fail because nobody is in, resulting in costly redelivery or, for the customer, expensive trips to the dispatching depot. Tell Us When allows customers to better express their delivery preferences, to be better informed of deliver times and to have more reliable delivery time estimates. It will result in a reduction in the number ...

Product types

Collaborative R&D Demonstrator Knowledge Transfer Partnership