Welcome to Trusted Data

Agenda:

      • Introductions
      • Company overview
      • Our mission in Supply Chain
      • Supply Chain use case areas and case studies
      • Daajan: Current understanding and opportunities
      • AI Solutions for Supply Chain
      • Q&A

Leadership team

Dr. Tauqeer Iqbal

Chief Data Scientist

  • Chief Technical Officer and lead data scientist
  • Leading analytics and strategic advisor to companies globally
  • 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 
  • Successfully delivered operational and organisational improvements at several large UK companies spanning Supply Chain, OD and Business Intelligence
  • BSc Economics/Econometrics with postgrad qualifications in HRD and Supply Chain Management.

Andy Adcock

Advisory Board Member

  • Key partner and advisor to Trusted Data leadership team.
  • 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.

Trusted Data Technologies: Supply Chain Analytics and AI for profound impact

Our Mission

 

  • To serve as catalysts for transformation, harnessing the boundless potential of AI and Analytics.
  • Creating AI solutions to drive measured business impact, nurturing a sense of connection and purpose.
  • To empower businesses to navigate the complexities of the digital age with confidence and grace.
  • Fostering a world where innovation flows meaningfully and effortlessly, amidst the noise of AI 

Data Science Consulting

AI solutions

Analytics & AI Training

Where Software Fails, Machine Learning and AI Transform Decision Making

Client Success

We want to elevate Supply Chain Management with AI and Analytics

01 Insights

Our team has extensive experience supporting AI initiatives in inventory, replenishment, forecasting, logistics and network design

We want to empower supply chain leaders with advanced decision systems for tactical & strategic planning backed by AI.

Data & AI are still in a nascent stage for many supply chain functions left with legacy software solutions

These legacy software solutions fail to consider client data and are technically unable to create reliable predictive / optimisation outcomes

%

of supply chain leaders cite data quality as the primary obstacle to effective supply chain analytics (Deloitte).

%

median reduction in forecast errors for Companies using AI for demand forecasting (McKinsey).

%

Median excess inventory level created by forecast errors in FMCG and retail sectors (Gartner).

%

median reduction in logistics costs for Companies Implementing AI in supply chains (PwC).

%

Median average forecast accuracy in the FMCG sector (McKinsey).

02 Our core Supply Chain Analytics impact areas

Predictive Demand & Replenishment

Being at the forefront of most supply chain leaders’ agendas, the ability to leverage demand and replenishment for driving cost optimisation and fulfillment capability is crucial. Trusted Data has been assisting organisations to innovate in this domain.

  • ML-Predictive Demand
  • Customer Replenishment Optimisation
  • Production Planning Analytics

Warehouse Operations & Inventory Analytics

We employ advanced decision science protocols to ensure that warehouse efficiency, demand fulfilment and holding-cost optimisation are delivered in tandem, helping clients to improve OTIF, eliminate excess inventory and unlock cash flow.

  • Warehouse Capacity Planning
  • Inventory Optimisation
  • Order Fulfilment Optimisation

    Transport & Logistics Analytics

    We employ advanced and bespoke modelling and analytical solutions to derive high performing transport operations spanning scheduling optimisation, network and asset utilisation.

    • Routing & Scheduling Optimisation
    • Logistics Network Design
    • Asset and Infrastructure Optimisation

      Supplier Risk and Management Analytics

      We leverage advanced analytics to empower Procurement & Supply Chain leaders, enabling them to assess supplier value, mitigate risks, enhance cost management practices and make informed strategic decisions. 

      • Supplier Tiering and Segmentation
      • Supplier Risk Analytics
      • Spend Analytics and Optimisation

        03 Daajan: Initial roadmap for supply chain analytics agenda and change

        ML - driven demand prediction

        Developing a highly sophisticated ML-driven demand prediction and replenishment solution to help a leading regional FMCG group dramatically reduce waste and improve net sales. 

        Case Study

        Automotive Inventory Optimisation

        We guided a client towards leveraging machine learning to accurately predict vehicle demand at its dealerships, enabling efficient inventory management, reducing their holding costs and unlocking significant working capital.

        Case Study

        Logistics Network and 3PL analytics

        We undertook an immersive logistics network modelling exercise for one of the largest food processing companies in the UK to help identify baseline cost to serve for their entire customer network and potential 3PL spend leakage.

        Case Study

        Revolutionising Urban Mobility: ML and Smart Transport

        Working with a leading city planning project to utilise advanced analytics and machine learning to configure an optimal layout of their newly planned metro transport network to mitigate cost and maximise ridership.

        Case Study

        Our Supply Chain Solutions

        Grigora

        A dynamic logistics optimisation platform enabling supply chain leaders to leverage advanced network modelling for efficient, multi-constraint transport scheduling, logistics spend benchmarking and customer cost to serve insights.

        Find out more

        Optihub

        Optihub is our cutting-edge strategic logistics planning solution, where we redefine network design to drive efficiency and improve decision-making for logistics infrastructure investment.

        Find out more