---
title: "Ad-Hoc Services"
ocid: "ocds-h6vhtk-0311df"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0311df"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-0311df.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-0311df.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "LONDON BOROUGH OF HARINGEY - PASSENGER TRANSPORT SERVICES"
published: "2022-02-01"
---

# Ad-Hoc Services

Buyer: LONDON BOROUGH OF HARINGEY - PASSENGER TRANSPORT SERVICES  
Current stage: Award  
OCID: ocds-h6vhtk-0311df

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0311df)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-0311df.json)

## Summary

The London Borough of Haringey - Passenger Transport Services has initiated a tender for "Ad-Hoc Services" in the passenger transport industry. The procurement process, classified under the CPV code for the hire of passenger transport vehicles with driver, is currently at the award stage after completion. The contract was signed on 1st February 2022, with an active status for the awarded contract valued at £12.86. The delivery for the services is expected to occur in the UKG13 region.

This tender presents opportunities for businesses specialising in passenger transport services, particularly those capable of providing on-demand transportation solutions. Companies like Emess Car Service, which successfully bid on this contract, have demonstrated their ability to meet the procurement criteria focusing on quality and price. Businesses offering flexible transport solutions and possessing the necessary qualifications will find this tender an avenue to expand their operations within the public sector.

## Notice

Ad-Hoc Services

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/002885-2022 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | SME |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 1 Feb 2022 |
| Submission deadline | Not specified |
| Future notice date | Not specified |
| Award date | 1 Feb 2022 |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £12 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Cancelled |
| Awards status | Active |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | LONDON BOROUGH OF HARINGEY - PASSENGER TRANSPORT SERVICES |
| Locality | LONDON |
| Post town | North London |
| Postcode | N22 8LE |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI4 Inner London - East |
| ITL 3 | TLI43 Haringey and Islington |
| Local authority | Haringey |
| Electoral ward | Bounds Green |
| Westminster constituency | Southgate and Wood Green |
| Delivery location | TLG13 Warwickshire CC |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | EMESS CAR SERVICE |

## CPV Codes

### Divisions

- 60 - Transport services (excl. Waste transport)

### Codes

- 60170000 - Hire of passenger transport vehicles with driver

## Release History

- 1 Feb 2022 at 17:25 - Award - Award Notice - https://www.find-tender.service.gov.uk/Notice/002885-2022

## Notice URLs

- http://www.emesscarservice.com
- http://www.haringey.gov.uk/
- https://ted.europa.eu/udl?uri=TED:NOTICE:129504-2019:TEXT:EN:HTML

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-0311df. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-0311df.json.
