Ocado Smart Platform: AI & Machine Learning
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Questions and Answers

In the context of the Ocado Smart Platform, which of the following is NOT a primary objective of their demand forecasting system?

  • Ensuring customers have access to the widest possible variety of products, regardless of demand. (correct)
  • Optimising stock cover to reduce storage costs.
  • Maximising the freshness of products available to customers.
  • Minimising waste by accurately predicting product demand.

Ocado's 'Instant Order' feature utilises time series analysis of historical shopping patterns to predict what customers want in their basket. Which of the following is the MOST significant challenge in accurately implementing this feature?

  • Integrating with the warehouse management system to ensure product availability.
  • Adapting to sudden shifts in customer preferences due to external factors like viral trends. (correct)
  • Maintaining customer privacy while collecting and analyzing shopping data.
  • Ensuring compatibility with different mobile devices and operating systems.

Which of the following scenarios would MOST effectively highlight the benefits of Ocado's ensemble forecasting engine approach, where different engines compete to forecast demand for various products?

  • A seasonal shift in consumer preferences, impacting demand for diverse product types. (correct)
  • A supply chain disruption affecting the availability of a specific set of ingredients.
  • A flash sale event focusing on a single product category, heavily promoted through social media.
  • A period of stable demand across all product categories, with minimal external influences.

Ocado's automated warehouses utilize thousands of bots to fulfill orders. What is the MOST significant challenge in maintaining and optimising these systems at scale?

<p>Preventing collisions and optimising paths for thousands of robots operating simultaneously. (C)</p> Signup and view all the answers

Ocado has over 1900 granted or pending patents protecting their proprietary technology. Which of the following strategies would be MOST effective in leveraging this patent portfolio to gain a competitive advantage?

<p>Strategically licensing the technology to select partners while retaining exclusive rights in key areas. (A)</p> Signup and view all the answers

What is the primary reason for using proprietary LTE mobile technology in the 4G unlicensed spectrum to control the bots?

<p>To ensure each bot operates within a dedicated and time-sensitive control system, enhancing responsiveness and preventing collisions. (D)</p> Signup and view all the answers

How does the system adapt to changing conditions in real-time to optimize the last mile delivery?

<p>By continuously recalculating routing and delivery options in response to factors such as changing road conditions, traffic, and fuel levels. (A)</p> Signup and view all the answers

What is the significance of the '5mm clearance' between the bots operating within 'The Hive'?

<p>It demonstrates the precision required for the bots to navigate efficiently without collisions, highlighting advanced control system capabilities. (D)</p> Signup and view all the answers

What is the most direct impact of the system's ability to make 14 million routing calculations and 600,000 adjustments per second?

<p>It allows for a dynamic and highly optimized response to real-time changes, ensuring efficient routing and delivery. (C)</p> Signup and view all the answers

What is the business benefit of the system's dynamic routing and planning algorithms to adapt in real-time?

<p>Improved ability to handle unexpected events such as traffic delays or mechanical issues, maintaining consistent and efficient delivery operations. (B)</p> Signup and view all the answers

Flashcards

‘The Hive’

Warehouse system with storage bins stacked under a grid.

Warehouse Bots

They move rapidly within ‘The Hive’ to retrieve bins.

LTE Mobile Technology

Uses 4G unlicensed spectrum for real-time control.

Routing Algorithms

Algorithms that find the best delivery routes.

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Dynamic Routing

Adapts to changes like traffic or fuel levels in real-time.

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Ocado Smart Platform (OSP)

Ocado's technology platform integrating AI, Robotics, Digital Twins, Cloud, Big Data, and IoT to revolutionise online grocery.

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Personalised Shopping via ML

Using machine learning and data to predict customer needs, enabling fast, personalised shopping experiences.

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Instant Order

Feature predicting what a customer wants to order based on their past shopping habits.

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Demand Forecasting System

A system that forecasts product sales to balance freshness, availability and minimal waste.

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Automated Warehouses

Highly automated warehouses using swarms of bots to quickly fulfil online grocery orders.

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Study Notes

  • Ocado Smart Platform (OSP) was developed using AI, Robotics, Digital Twins, Cloud, Big Data, and IoT.
  • OSP includes native apps, voice ordering, automated warehouses, and in-house smart software for last mile optimization.
  • The technology is protected by over 1900 granted or pending patents.
  • Ocado developed its technology from scratch

Personalized Experiences via Machine Learning and Big Data

  • Advanced Machine Learning (ML) and data harvesting are used for predictive analytics.
  • Customers can place a 50-item order quickly and benefit from personalization like shopping by organic, gluten-free, or specific national cuisines.
  • The "Instant Order" feature uses time series analysis of historical shopping patterns to predict what customers want in their basket.
  • ML applications predict how quickly household items will be used and suggest reordering.
  • "Reserved Order" functionality allows customers to book deliveries in advance, enabling recurring automated orders.

Demand Forecasting

  • A demand forecasting system predicts sales for over 58,000 products on Ocado.com
  • The goal is to maximize freshness and availability while minimizing waste and stock cover.
  • An ensemble of forecasting engines competes to provide the most accurate forecast for each product.
  • The system selects the best forecasting engine for each product at any given moment.

Automated Warehouses

  • Ocado's warehouses are highly automated fulfillment centers.
  • Thousands of bots pick a 50-item order in minutes.
  • Under each square of ‘The Hive’ is a stack of storage bins up to 21 bins deep.
  • The bots move at up to 4 meters per second, with a 5mm clearance between them.
  • Proprietary LTE mobile technology in the 4G unlicensed spectrum controls the bots

Optimized Last Mile

  • Routing and forecasting algorithms dynamically optimize routing and planning using vast amounts of data.
  • The systems make 14 million routing calculations and 600,000 adjustments per second.
  • Routing plans adapt in real-time to factors like changing road conditions, traffic, and fuel levels.

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Description

Ocado Smart Platform utilizes AI, robotics, digital twins, and machine learning for personalized shopping experiences. Features include predictive analytics, instant orders based on shopping patterns, and automated reordering of frequently used items. The platform is protected by over 1900 patents.

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