Research & Development

Built on real market needs. Backed by scientific research.

SaleCompass combines SME interviews and peer-reviewed AI research to build marketing intelligence that moves revenue.

SECTION 1: Market Interviews & Need Analysis

Understanding the Real Problems Before Building the Solution

At SaleCompass, research began long before a single line of code. Our founder Danyal Mohiuddin conducted extensive market interviews, discovery meetings, and surveys.

  • CEOs of food businesses
  • Restaurant owners & managers
  • Marketing teams & agencies
  • UK SME founders

Recurring pattern: Data everywhere, zero clarity.

Market research session 1
Market research session 2

About the Founder

Danyal Mohiuddin

Danyal Mohiuddin is a researcher whose work in AI, analytics, ethics, and marketing science forms the backbone of SaleCompass. His research has been published and presented in IEEE conferences and journals, with a focus on how AI can be used responsibly in real-world marketing.

Drawing from interviews with SME founders, food businesses, and marketing teams across the UK and beyond, he designed SaleCompass to solve one recurring problem: data everywhere, but no clarity. The platform is built to give business owners confidence in every marketing decision.

Vision: To democratise marketing intelligence so that small and mid-sized businesses can access the kind of insight that was once reserved only for large enterprises.

SECTION 2: Scientific Foundations

Academic Rigor That Fuels Technological Innovation

SaleCompass is rooted in the founder’s scientific research in AI, machine learning, marketing analytics, ethics, and consumer behaviour. This work has been published and presented in IEEE conferences and journals, ensuring that the platform is grounded in evidence – not guesswork.

Publication 1: Ethical AI in Marketing

AI in Marketing: Ethical Challenges and Solutions for Consumers and Society

Authors: Danyal Mohiuddin & Dr. Naureen Farhan (Ravensbourne University London)

This study explores how consumers evaluate the morality of AI-powered marketing, highlighting risks around privacy, manipulation, and transparency. It also proposes practical frameworks for building trustworthy AI systems that respect consumer rights while still driving commercial outcomes.
Read more →

Publication 2: Multi-Channel Food Marketing

AI and Machine Learning Enhance Multi-Channel Marketing Effectiveness in the Food Industry

This research addresses a persistent challenge in the food and hospitality sector: fragmented data across delivery apps, in-store sales, and digital ads. The paper shows how predictive models and attribution algorithms improve campaign performance, reduce waste, and reveal which channels really move revenue.
Read more →

Ethical AI

Transparent, privacy-aware analytics that respect both customers and brands.

Marketing Analytics

Unifies online and offline touchpoints into one interpretable model.

Continuous R&D

Ongoing experiments and publications keep SaleCompass ahead of the curve.