Digital transformation in Agri-Food industry -

Trends & Opportunities

Taoufik ARIF

Former Nestlé Global Digital Manufacturing & Industry 4.0 Lead

WHY WHAT HOWBusiness

context

Digital

opportunities

Digital Operational

framework

2

Agri-Food business is evolving…

3

TechnologiesMegatrends Costumers

• Product personalization• Relationship to food• Need for sustainability

• Traditional & piranha• New (e-)retailers• Cost cutting

• Computing power• Connectivity• Artificial Intelligence

• Assured & enhanced product quality

• Shift from “cost-plus” to “value-based”

Competitors & Investors

The new business requirements and the new Technology capabilities

will result into major shifts in the Supply chain

4

From … … To

Consumer-tailored experiences

Real-time Farm-To-Fork transparency

Omni-channel

Collaborative extended enterprise

Agile man-machine interaction

Machine judgment

Competence as a service

Mass products

Fragmented product information

Traditional trade

Silo optimization

Task automation

Human decision

Loyalty-based employment

Paradigm shifts

Identified paradigm shifts, either already happening or about to happen

Digital technologies can unlock substantial potential in Cost,

Quality, Flexibility as well as New business models

5

• Cost reduction : with optimized Product recipe, Raw

Materials and Energies usage, increased asset

productivity and reliability…

• Quality improvement : with increased Customer

service, Quality consistency and faster Finished Product

release…

• Flexibility increase : with intelligent production

scheduling and advanced process automation

Cost

MarginMarket

share

Cost

High(er)

Margin New

Business

• New Business models development : with

connected platforms engaging our Suppliers, Customers

and End Consumers, Faster innovation

Improve further…

Develop new…

Examples of Digital solutions already available in Agri-Food industry

6

Predictive Process Monitoring

Automated Process Center-Lining

Yield & Energy Efficiency

Predictive Maintenance Collaborative robotics

Mfg. Flow Simulation

and many more…

Automated Machine Learning

PLM from Idea To Industrialization

Customer Service

Cost

&

Quality

Productivity

&

Reliability

Customer

service

&

Innovation

IIoT Sensors for OEE OEE Visual Management

The digital technologies are enabling new capabilities

7

Connectivity &

Data

• E2E ERP integration

• Industrial IoT and MES

• Blockchain DB

Intelligence & Analytics

• Machine/Deep Learning

• Advanced analytics

• Advanced Process Control

Cyber-Physical Systems

• Smart industrial robotics

• Robotic Process Automation

• Operations Flow Simulation

To generate Data from everything To process data to make decision To blend Digital and Physical activities

Start – Scale – Sustain : Digital operational framework, to capture

business value in a fast and durable way

8

Digital operational framework

SCALESTART

SUSTAIN

1. Identify opportunity

2. Pilot Digital solution

3. Demonstrate Value

1. Build standard solution

2. Plan Roll-out

3. Deploy solution

1. Build

competence

2. Develop eco-

system

3. Engage

organization

Leverage value at scaleCatch-up faster

Build for long term

Project

management

mode

Routine

management

mode

9

End