---
title: "Innovative Technological Soluations For Sea Fisheries Control And Enforcement - Machine Learning"
ocid: "ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "DEFRA NETWORK ETENDERING PORTAL"
published: "2020-04-02"
---

# Innovative Technological Soluations For Sea Fisheries Control And Enforcement - Machine Learning

Buyer: DEFRA NETWORK ETENDERING PORTAL  
Current stage: Award  
OCID: ocds-b5fd17-36b467f8-a097-4a2c-955c-eb048d3325f1

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## Summary

The procurement process titled "Innovative Technological Solutions For Sea Fisheries Control And Enforcement - Machine Learning" is initiated by Defra Network eTendering Portal and is focused on the provision of systems and technical consultancy services. This tender, classified under the CPV code 72220000, involves a desktop exercise to investigate the application of machine learning and artificial intelligence in fisheries control and enforcement. The procurement method employed is an open procedure below threshold, with the tender period having ended on 24th February 2020 and the contract period set from 6th March 2020 to 17th April 2020. The procurement location includes the United Kingdom and extends to various British Overseas Territories and regions in Europe.

This tender presents significant growth opportunities for technology firms specialising in data analysis, machine learning, and artificial intelligence. Companies with expertise in developing innovative solutions for enforcement and compliance, particularly those that can demonstrate experience with big data and analytical tools, may find this project particularly suited to their capabilities. With the increasing need for robust solutions to enhance fisheries management and compliance, businesses positioned in the consultancy and technological spheres are encouraged to explore potential collaborations or future tenders in this sector.

## Notice

1.1 The Authority is looking for Tenderer(s) for a desk top exercise seeking innovative technological solutions for sea and fisheries control and enforcement. 1.2 Defra and the Marine Management Organisation (MMO) would like to better understand the practicalities of using machine learning (and related areas such as artificial intelligence) for the purposes of fisheries control and enforcement. A desk-based exercise is required to build on previous Artificial Intelligence (AI) proof of concept work undertaken in 2018 looking at improving the efficiency and effectiveness of vessel inspections that take place at sea. 1.3 Machine learning used in analysis platforms has the potential to enable fishing activity to be identified and corroborated automatically, identifying apparent anomalies that characterise possible IUU fishing activity to be focussed on and analysed further. This has the potential to encourage greater levels of compliance, provide comprehensive intelligence and enable more efficient and effective enforcement methods. Data analysis platforms specialise in collecting large quantities of data ('big data') and analyse it through specific algorithms to reveal patterns, trends and associations. These platforms can present data to enforcement authorities through an intuitive interface to visualise complex data associations and create clear actionable outputs in the form of intelligence reports and real-time alerts for example. Data platforms support the current risk-based intelligence led approach to operational planning and enforcement. 1.4 We are keen to understand which existing projects or areas of work where machine learning and artificial intelligence is being trialled or currently used that has applicability to fisheries control and enforcement.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/4c1c07fa-fdf5-444f-804a-f4c4d6c60d29 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure (below threshold) |
| Tender suitability | SME |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 2 Apr 2020 |
| Submission deadline | 24 Feb 2020 |
| Future notice date | Not specified |
| Award date | 4 Mar 2020 |
| Contract period | 6 Mar 2020 - 17 Apr 2020 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £50,000 |
| Lots value | Not specified |
| Awards value | £50,000 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEFRA NETWORK ETENDERING PORTAL |
| Locality | YORK |
| Post town | York |
| Postcode | YO1 7PX |
| Country | England |
| ITL 1 | TLE Yorkshire and The Humber |
| ITL 2 | TLE2 North Yorkshire |
| ITL 3 | TLE21 York |
| Local authority | York |
| Electoral ward | Guildhall |
| Westminster constituency | York Central |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | FACULTY |

## CPV Codes

### Divisions

- 72 - IT services: consulting, software development, Internet and support

### Codes

- 72220000 - Systems and technical consultancy services

## Release History

- 2 Apr 2020 at 13:29 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/4c1c07fa-fdf5-444f-804a-f4c4d6c60d29

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/4c1c07fa-fdf5-444f-804a-f4c4d6c60d29
  2nd April 2020 - Awarded contract notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/fe16de17-2bf5-41c5-97e1-d780026f0f52
  n/a

## Provenance

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