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Company profile

Sparkbox Limited

Sparkbox | Retail Price Optimisation & Insights | Home

Retail price optimisation, planning, and insights. Sparkbox helps busy merchandising teams make data-driven decisions.

CRN
11612977
Founded
2018
Age
7

Overview

Legal name
SPARKBOX LIMITED
Region
Unknown
Registered address
COLONY PICCADILLY
PICCADILLY PLACE
MANCHESTER
ENGLAND
M1 3BR
Insolvency history
No

Latest accounts

Financial period: 1 Nov 2023 to 31 Oct 2024

FILLETEDACCOUNTS
Turnover
Unknown
Profit / Loss
Unknown
Employees
15

Company events

Reference milestones and recent Companies House filing stream events.

6 events
05 Jan
2027

Confirmation statement due

Confirmation Due

Next confirmation statement due date

31 Jul
2026

Accounts due

Accounts Due

Next accounts due date

22 Dec
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

19 Nov
2024

Change Registered Office Address Company With Date Old Address New Address

Address

AD01 | Transaction MzQ0NDExMTIxOWFkaXF6a2N4

Published 19 Nov 2024 12:52

31 Oct
2024

Accounts filed

Accounts

Last accounts made up date

09 Oct
2018

Incorporated

Inception

Company registered at Companies House

Public funding

2 awards
First funded
2020
Funded years
2020, 2025
Age at first award
2 years

Projects

2025 Innovation Loans Lead participant

AI based Retail Demand Forecasting and Planning Software

1 Oct 2025 to 31 Dec 2026

Awarded
£995,268
Total cost £995,268

Retailers rely on manual forecasting in spreadsheets which leads to lost sales, excess stock, and waste. Sparkbox is developing an AI-powered demand forecasting module to help retailers predict future sales accurately and optimise stock management. Sparkbox's solution integrates with their existing modules and makes it easy for merchandisers, allocators, ...

2020 Study Lead participant

Merchandising Insights Solution

1 Nov 2020 to 31 May 2021

Awarded
£48,298
Total cost £107,330

Project involves the creation of a merchandising insights tool that integrates retailer data, market data, and ML-based prediction and recommendation to provide retailers with timely product insights and recommendations around purchasing, pricing, marketing and allocations. Areas of innovation focused on driving insights from large retail data sets using ...

Product types

Innovation Loans Study