TRUSTED DATA
TECHNOLOGIES

is a Data Management Advisory and Ai solutions enabler, utilising Advanced Analytics to deliver unparalleled performance increase for clients

Trusted Data Technologies Ltd.

Company profile

Our Mission

Our mission at Trusted Data is to serve as catalysts for transformation, harnessing the boundless potential of AI and Analytics to create solutions that not only drive business growth but also nurture a sense of connection and purpose. With a steadfast commitment to balance and integrity, we seek to empower businesses to navigate the complexities of the digital age with confidence and grace. Through collaboration, empathy, and a relentless pursuit of clarity, we aim to expand our impact, fostering a world where innovation flows effortlessly, amidst the noise of Artificial Intelligence and Technology.

About US

At Trusted Data, we leverage AI and Advanced analytics to address  your organisations’ most pressing and challenging problems. We understand the rapid pace at which the world is evolving and we are here to not only support but to educate organisations on how they can sensibly embrace the new era of Artificial Intelligence. We work with passion and balance, ensuring that we take our clients on a journey, empowering them with clarity and impact and safeguarding their business in the ever-evolving digital age. What sets us apart from others is that we embrace both the heart & mind in every conversation, ensuring that our clients experience of this new world of AI and Machine learning unlocks infinite possibilities for them and their employees.

Our Services

  • Project support
  • Fractional Data Science partner
  • E-2-E Solution development
  • Data advisory and consultancy

Our Core Competencies

  • Data Engineering and Software Development
  • Reinforcement Learning and Optimisation
  • Machine Learning and Deep Learning
  • Generative AI and NLP Solutions
Brand Name
Brand Name

Our Team Includes

Dr. Tauqeer Iqbal

Chief Data Scientist

  • Chief Technical Officer and lead data scientist
  • Leading analytics and strategic advisor to companies globally
  • Proven experience working in Europe, GCC and Far East for leading international brands
  • Successfully pioneered the Trusted Data brand and presence in the Gulf region
  • Led more than 25 consulting/analytics projects in the last 8 years
  • PhD in predictive analytics, MBA (Marketing strategy) and MSc in applied analytics

Nirpal Kulair

Commercial & Engagement Lead

  • Leads client pre/post sales engagement for Europe and Emerging markets
  • A successful career as a business analyst and in consulting
  • Successfully delivered operational and organisational improvements at several large UK companies spanning Supply Chain, OD and Business Intelligence
  • BSc Economics/Econometrics with postgraduate qualifications in HR Development and Supply Chain Management.

Michael Stanisz

Analytics delivery partner

  • Supports the technical delivery of complex engagements in pricing and revenue management analytics
  • Co-founded Canadian-based Revenue Management Labs in 2015 working with leading clients including in Manufacturing and FMCG.
  • BSC in Mathematics from McMaster University a
  • 2 post-graduate degrees; Management analytics (Queens University) and MBA from the University of Toronto.

Andrew Adcock

Advisory Board Member

  • Key partner and advisor to Trusted Data leadership team focused on augmenting their presence in Retail and Consumer Goods
  • Senior Retail Executive with +25 years working with leading UK Grocery Retail brands.
  • Recently MD of M&S Food in the UK, overseeing £6bn annual revenues and steering M&S Food to Retailer of the Year in 2017.
  • Key advisor to several market leading retail brands in UK and N.America

Supply chain drill-down: Core delivery and impact areas

Supply Chain Analytics impact areas

01

Planning & Forecasting

  • Demand Prediction
  • Supply & Demand planning integration
  • Waste Optimisation

      02

      Inventory and Replenishment

      Optimisation

      • Warehouse Design
      • Replenishment Optimisation (customer and warehouse)

      03

      Logistics and Warehousing

      • Planning / Scheduling  Optimisation90
      • Driver / Fleet performance analytics
      • Infrastructure (Fleet & Network) Optimisation

      Forecasting and Demand Sensing

      What is our real product demand inside and outside of promo periods

      How can I use replenishment analytics to drive service level improvement and sales growth at the store level 

      How can I reduce waste / product obsolescence

      • Resource – lite
      • Reduce waste
      • Lower forecast error and bias
      • E-2-E SC alignment
      • Reduce lost sales

      Warehousing and Inventory Optimisation

      How can I reduce inventory holding without compromising OTIF

      How can I identify an optimal inventory trade-off between volume and cost

      How can I enhance Warehouse layout design to reduce labour cost and improve picking time

      • Lower labour cost
      • Improve product availability
      • Data driven safety stock levels
      • Optimised stock volume & holding cost trade-off

      Transport and Logistics

      How can I benchmark baseline transport cost to serve versus actual spend
      How can I model cost to serve impact under different network designs
      How can I determine optimal fleet configuration and size to meet customer delivery demand by region
      Which customers / store location in my distribution network are driving most cost / value
      • Reduced cost to serve
      • Deep customer fulfilment and sales insights
      • Improved logistics network design
      • Improved fill rates

      Client Success

      FMCG

      25M

      Logistics Overspend Identified

      +55%

      Waste Reduction

      +95%

      Vehicle Utilisation

      Transport & Logistics

      15%

      Site Reduction

      13M

      Annual Cost Savings

      20%

      Fleet Reduction

      Automotive Impact

      +85%

      Reduction in Quarterly Forecast error

      $57mn

      Unlocked working capital

      Retail Bank

      48%

      Productivity Increase

      5.9M

      Salary Reduction

      National Retailer

      8.8%

      Revenue Increase

      35%

      Marketing spend reduction

      3%

      Reduction in Inventory Holding