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WHY?

Amazon gives personalised proposals to their customers to help them to drive good engagement conversion and drive sales.

HOW?

Amazon Personalize is a fully managed machine learning service that uses your data to generate item recommendations for your users.

WHAT DIFFICULTIES?

Amazon need to recommend the products at a user level with their past interactions. The training data consisted of 10 million rows with more than 20 interactions per user. Using this training data, Amazon were needed to get recommendations for every individual user.

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Catering to different cultures for example, producing shows for local audiences or giving different language dub/subtitle options.

Netflix using personalisation algorithms to cater to personal preferences.

Creating their own popular shows and series.

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Walmart’s cost optimization strategy is central to its ability to offer low prices while maintaining profitability. Its approach leverages scale, technology, operational efficiency, and supplier relationships to minimize costs. Here’s an overview of how Walmart implements its cost optimization strategy:

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Walmart’s cost optimization strategy is central to its ability to offer low prices while maintaining profitability. Its approach leverages scale, technology, operational efficiency, and supplier relationships to minimize costs. Here’s an overview of how Walmart implements its cost optimization strategy:

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1. Economies of Scale

• Bulk Purchasing: Walmart leverages its massive scale to negotiate lower prices with suppliers, ensuring cost savings on goods.

• Supplier Partnerships: By maintaining long-term relationships with key suppliers, Walmart secures favorable pricing and terms.

2. Efficient Supply Chain Management

• Logistics Excellence: Walmart operates one of the most sophisticated logistics networks in the world, with a focus on reducing transportation and distribution costs. Key practices include:

• Centralized distribution centers located strategically for efficient product flow.

• Cross-docking techniques to reduce warehousing costs by moving goods directly from incoming trucks to outbound trucks.

• Private Fleet: Walmart owns its trucking fleet, reducing dependency on third parties and ensuring cost-effective delivery.

3. Technology Integration

• Inventory Management Systems: Walmart uses advanced inventory tracking systems, such as RFID (Radio Frequency Identification) technology, to reduce waste, prevent overstocking, and optimize product placement.

• Data Analytics: Walmart analyzes customer purchasing behavior to streamline inventory and reduce carrying costs.

• Automation: Investments in automation in warehouses and fulfillment centers help lower labor costs and increase efficiency.

4. Lean Operations

• Low Overhead: Walmart minimizes overhead costs by standardizing store layouts, simplifying processes, and using efficient store management practices.

• Cost-Effective Store Formats: Stores are designed with functionality and cost savings in mind, including energy-efficient features to reduce utility expenses.

5.Supplier Cost-Sharing

• Cost Transparency: Walmart encourages suppliers to adopt cost-saving practices, sometimes sharing its operational expertise with them to reduce production and transportation costs.

• Global Sourcing: By sourcing products from low-cost regions, Walmart ensures competitive pricing.

6. Strategic Pricing Models

• Everyday Low Prices (EDLP): Walmart avoids high-low pricing strategies (sales and discounts) in favor of consistently low prices, which reduces the need for complex promotional campaigns.

7.Sustainability Initiatives

• Energy Efficiency: Walmart invests in renewable energy and energy-efficient technologies to lower utility costs.

• Waste Reduction: Implementing waste management practices like recycling and minimizing product shrinkage reduces operating costs

Impact of Cost Optimization on Walmart’s Competitiveness

By maintaining a relentless focus on cost reduction, Walmart can:

• Offer lower prices to attract and retain price-sensitive customers.

• Sustain higher margins despite operating in a low-margin industry.

• Invest savings into new initiatives like digital transformation and sustainability.

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Airbnb introduced ‘smart pricing’, a dynamic pricing system that automatically adjusts the price of a listing based on some of the following factors: size and amenities of the property, local demand, location, foot traffic in the area, whether it is peak or off-season, popularity gauged by clicks and reviews. The algorithm uses predictive analysis based on the past booking behaviours of customers to suggest properties to them that are similar in amenities and price to those that they have previously viewed.

It is positive for hosts as they do not have to manually adjust the price of their listing during different seasons or when new amenities are introduced. It can also help those looking to stay in an Airbnb as it avoids hosts overcharging.

Challenges: Dynamic pricing can restrict earning potential for the owner if the algorithm fails to detect events in the local area or amenities that set a listing apart from its competitors. The algorithm is not always accurate, potentially leading to over or underpricing of listings. There is also the question of price transparency for customer, as the algorithm should be able to justify why it is raising the price of listings at certain times or for certain amenities.

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Plans to raise subscription prices in popular usage areas.

👆This will help to support it's content and investments.

Offering deals and discounts to attract more customers.

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Subscriber Quarterly Review 2024: Netflix added a record of 18.9 million subscribers surpassing wall street predictions.

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Tesla uses a data-driven approach for new product launches, leveraging consumer feedback, market trends, and pre-order data to gauge demand. They analyze production costs, supply chain efficiency, and geographic demand while considering regulatory conditions and sustainability. Additionally, Tesla monitors real-time data from their vehicles (e.g., battery performance, autonomous driving data) and digital platforms (website and app interactions) to refine products and marketing strategies. For example, the Cybertruck launch involved analyzing consumer interest, competitor products, and market segments, ensuring the vehicle met customer preferences and industry trends.