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Estelle Order

1 garment, 4 seasons!

by Catherine Laflamme @ Alex et Estelle

We are now introducing our lovely little Scarlett, proudly wearing one of our favorite pieces named after her. The Scarlett is available in several other beautiful colors. We absolutely love rompers and wanted to suggest ways to style this version throughout the seasons. By using...

The post 1 garment, 4 seasons! appeared first on Alex et Estelle.

The Vecellio Connection PRE-ORDER

The Vecellio Connection PRE-ORDER


COFFEE WITH ESTELLE

I’ve been known to disappear into my head/work and this week was no exception. I had so much fun working through the edits my editor sent, doing minor and major tweaking and getting The Vecellio Co…

Estee Lauder Double Wear Stay in place Makeup reviews, photos, ingredients

Estee Lauder Double Wear Stay in place Makeup reviews, photos, ingredients


MakeupAlley

12/2012 REFORMULATIONEstee Lauder Double Wear Stay in place Makeup: rated 4.0 out of 5 on MakeupAlley. See 1517 member reviews, ingredients and photos.

Colored Prototypes of Alter's Tales of Vesperia Estelle Figure - Pre-orders Open! - Abyssal Chronicles ver3 (Beta) - Tales of Series fansite

Colored Prototypes of Alter's Tales of Vesperia Estelle Figure - Pre-orders Open! - Abyssal Chronicles ver3 (Beta) - Tales of Series fansite


Abyssal Chronicles ver3 (Beta) - Tales of Series fansite

Alter has released pictures of the colored prototype of their upcoming Tales of Vesperia 1/8 Scale Estelle figure. Some shops also have pre-orders open. In addition, the Milla Maxwell plushie, also by Alter, has some [Read More...]

Probabilistic demand forecasting for Fashion

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

A few weeks ago, in Berlin, Lokad was invited on stage at Vizions 2017 to give a talk about probabilistic forecasting and how this paradigm will change the future of supply chain for the fashion industry.

The Supply Chain Scientist

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

Artificial intelligence has been making steady progress over the last few decades. However, while self-driving cars might be just around the corner, we are still decades away from having software smart enough to devise a supply chain strategy. Yet, at the same time, it would be incorrect to conclude that supply chain as a whole is still decades away from being positively impacted by machine learning algorithms.

Lokad’s supply chain science competency was born out of the observation that while algorithms alone were insufficient, they actually became formidable enablers in the hands of capable supply chain experts. Machine learning offers the possibility to achieve unprecedented levels of supply chain performance by taking care of all the extensive but otherwise clerical micro-decisions that your supply chain requires: when to order a product, when to move a unit of stock, when to produce more items, etc.

The Supply Chain Scientist is a mix between a data scientist and a supply chain expert. This person is responsible for the proper data preparation and the proper quantitative modelling of your supply chain. Indeed, it takes human supply chain insights to realize that some relevant data may be missing from a project and to align the optimization parameters with the supply chain strategy of the company.

Too often, supply chain initiatives come with fragmented responsibilities:

  • Data preparation is owned by the IT team
  • Statistics and reporting is owned by the BI (business intelligence) team
  • Supply chain execution is owned by the supply chain team

The traditional S&OP answer to this issue is the creation of collective ownership through monthly meetings between many stakeholders, ideally having the whole thing owned by the CEO. However, while we are certainly not opposed to the principle of collective ownership, our experience indicates that things tend to move forward rather slowly when it comes to traditional S&OP.

In contrast to the collective ownership established through scheduled meetings, the Supply Chain Scientist holds the vital role of taking on the end-to-end ownership of all the quantitative aspects of a supply chain initiative.

This focused ownership is critical in order to avoid too common pitfalls associated with traditional supply chain organizations which are:

  • Data is incorrectly extracted and prepared, primarily because the IT team has limited insights in relation to the use of the data.
  • Statistics and reporting misrepresent the business; they provide less-than-useful insights and suffer from less-than-perfect data inputs.
  • Execution rely heavily on ad-hoc Excel sheets in order to try to mitigate the two problems described above, while creating an entire category of new problems.

When we begin a quantitative supply chain initiative with a client company, we start by making sure that a Supply Chain Scientist is available to execute the initiative.

Learn more about supply chain scientists

Hiring Big Data Analyst and Software Engineer

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

Once again, we are hiring. We are looking for a Software Engineer and a Business Data Analyst.

Software Engineer

You will integrate a team of talented software engineers in order to further develop our cloud-based data crunching apps. We have infrastructure, data processing, scalability and reliability challenges, and need your help in addressing them.

At Lokad, you will benefit from the coaching of an awesome dev team. You will gain skills in Big Data processing and cloud computing apps. Our codebase is clean, documented and heavily (unit) tested. Our offices are quiet (no open space!), bright, and you can get three monitors.

We are a C#/.NET shop, and you will be developing under Visual Studio, the source code being versioned in Git. Our apps are hosted on Microsoft Azure. In addition, with .NET Core coming later this year, we also anticipate a few strategic migrations towards Linux.

We expect you to have strong software development skills. A taste for low-level high performance computing is a big plus, and a vivid interest for distributed systems is very much appreciated. Contributions to open source projects are also highly regarded.

Big Data Analyst

Your role is to make sure our clients get the most from Lokad. You will address complex supply chain issues and craft quantitative strategies. Your goal is also to keep refining these strategies over time to keep them aligned with the needs of our fast-growing clients.

At Lokad, you will benefit from the extensive training and coaching of our expert team. You will gain skills in Big Data, predictive analysis and overall quantitative optimization for business. You will learn how to achieve measurable business results grounded on scientific analysis of data.

About one quarter of your time is spent interacting with clients in order to better understand their business, (mainly over the phone in English). The rest of your time is spent in what could be akin to advanced Excel-like analytics; except that you're dealing with Big Data and Machine Learning through the use of Lokad's platform.

We expect you to have a keen interest in data and quantitative analysis in general. Good Excel skills are a plus; and having even the most modest programming skills is a bonus too. An engineering background is usually a good fit. We also expect you to be fluent in English as the majority of our clients are located overseas. 2 years or more of professional experience are expected.

About Lokad

To apply, just drop your resume at contact@lokad.com.

Lokad is a software company that specializes in Big Data for commerce. We help merchants and a few other verticals (aerospace, manufacturing) to forecast their inventory and optimize their prices. We are profitable and we are growing fast. We are closing deals in North America, Europe and Asia. The vast majority of our clients are based outside of France. We are located 50m from Place d'Italie in Paris (France).

Estée Lauder | John Lewis

Estée Lauder | John Lewis


John Lewis

Shop for Estée Lauder from our range at John Lewis. Free Delivery on orders over £50.

Apple Confirms A Huge iPhone 8 Rumor With This Telling Samsung Order

Apple Confirms A Huge iPhone 8 Rumor With This Telling Samsung Order


UPROXX

Don't upgrade until this phone is out!

Art Deco Estelle Wedding Order Of The Day Program Cards

Art Deco Estelle Wedding Order Of The Day Program Cards


notonthehighstreet.com

Art Deco Estelle order of the day cardsOnce you have placed an order, we will get in touch to request the text for the reverse side of your card and a proof will be provided within 2 working days for your approval.Once you have carefully checked and approved the design and text we will send the artwork to print. If we need to make any amends prior to printing we will do so and follow up with another proof for you to accept. Please note that we allow 5-7 working days for delivery from approval of the proof.Minimum order of 20.Let your guests know the running order of your wedding day with these Art Deco style wedding program cards from our Kate collection.The cards are printed double sided on A5 smooth or textured card with the bride and grooms names on the front, and the order of the day and/or service on the reverse. Perfect for informal wedding ceremonies. Choose from a black or white background on the front of the card.Printed 350gsm smooth card or 300gsm textured gesso cardA5 (14.8cm w x 21cm h)

Senior software engineer wanted!

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

We are hiring again!

You will integrate a team of talented software engineers in order to further develop our cloud-based data crunching apps. We have infrastructure, data processing, scalability and reliability challenges. We need your help to get those challenges addressed.

At Lokad, you will benefit from the coaching of an awesome dev team. You will gain skills in Big Data processing and cloud computing apps. Our codebase is clean, documented and heavily (unit) tested. Our offices are quiet (no open space!), bright, and you can get three monitors.

We are a C#/.NET shop, and you will be developing under Visual Studio, the source code being versionned in Git. Our apps are hosted on Microsoft Azure. With .NET Core coming this year, we anticipate a few strategic migrations toward Linux.

We expect strong software development skills from you. A taste for low-level high performance computing is a big plus. A vivid interest for distributed systems is very appreciated. Contributions to open source projects are also highly regarded. We are located 50m from Place d'Italie in Paris (France).

Lokad is a software company that specializes in Big Data for commerce. We help merchants, and a few other verticals (aerospace, manufacturing), to forecast their inventory and to optimize their prices. We are profitable and we are growing fast. We are closing deals in North America, Europe and Asia. The vast majority of our clients are based outside of France.

Lokad is the winner of the 2010 Windows Azure Partner of the Year Award, and was named as one of Europe’s 100 hottest startups by Wired Magazine (09/2012).

To apply, drop your resume to contact@lokad.com.

Trump’s Newest Travel Order ‘Indefinitely’ Bans Most Citizens Of 7 Countries From Entering The U.S.

Trump’s Newest Travel Order ‘Indefinitely’ Bans Most Citizens Of 7 Countries From Entering The U.S.

by Kimberly Ricci @ Real Stories – UPROXX

The newest version of Trump's travel ban dropped on Sunday, and it's more severe than the last one.

Ringing in the new year in style!

by Catherine Laflamme @ Alex et Estelle

2017 is finally here ! First and foremost, we would like to send our best wishes of health, love and happiness to everyone, and thank everyone for reading us and visiting our site. Alex et Estelle is a HUGE, very exciting new beginning for us and what...

The post Ringing in the new year in style! appeared first on Alex et Estelle.

FAQs - Estelle & Thild

FAQs - Estelle & Thild


Estelle & Thild

FAQs (Frequently Asked Questions)   Estelle & Thild Organic Certification Products & Ingredients Order & Delivery     Estelle & Thild     Organic Certification     Products & Ingredients     Order & Delivery  

An aviation case study: Spairliners

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

Back in 2014, Spairliners became one of the first companies to deploy probabilistic forecasts at scale to improve their supply chain. It turned out that those forecasts are an excellent fit for aerospace challenges. Fast-forward present time, Spairliners has agreed to let us produce a video case study. Enjoy!

Preparing enterprise data takes 6 months

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

How long does it take to get started with Lokad? Answering this question is tough because often our answer is about 3 to 6 months. Hell, 6 months! How can your software be so clunky that it can take up to 6 months to get started? Well, our typical set-up phases can be broken down as follows:

  • 90 to 180 days: preparing the data
  • 3 to 30 days: configuring Lokad

This shows that Lokad’s setup is actually lightweight. Yes, there is room for improvement, but if we consider that Lokad offers programmatic capabilities which completely fit the business drivers, the process can already be considered as lean.

The biggest challenge, which makes pretty much everything else seem insignificant, is data preparation. Preparing data is the art of producing numbers that make sense out of raw data obtained from the company systems.

It is tempting to underestimate the amount of effort that needs to be invested upfront in order to deliver numbers that make sense. In fact, data preparation is too often reduced to a simple data cleaning operation as if the challenge could simply be addressed by filtering the few parts in the data that happen to be incorrect (such as the negative stock levels).

Yet, the true challenge lies in uncovering and documenting the precise semantics of the data. When we begin a project, we consider ourselves lucky if we have about one line of documentation per field for every database table that is made available to us. By the end of the project, we have about one page worth of documentation per field.

If data preparation takes 6 months, why not just postpone using Lokad for 6 months? So that we have all the data just before Lokad starts working on it.

Establishing a data-driven company culture takes years. If your company does not already have a team of data scientists working for it, not much will happen for the next 6 months as far as your supply chain project is concerned. Hence, after 6 months of waiting, your company will still be stuck with another 6 months of data preparation. One of the core know-hows we have developed at Lokad consists precisely in uncovering all the subtle “gotchas” that may backfire against supply chain initiatives.

Lokad can be a key driver for change in your company’s supply chain. Don’t hesitate to contact us, we are happy to discuss these matters with you in more detail.

Love is sharing – Alex et Estelle’s giving back motto

by Catherine Laflamme @ Alex et Estelle

Welcome to our blog ! For our first post, we wanted to discuss how important philanthropy is to us. We like to think of Alex et Estelle as a children’s online boutique with a purpose. Our love for children is the reason why we decided to...

The post Love is sharing – Alex et Estelle’s giving back motto appeared first on Alex et Estelle.

Fashion demand forecasting

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

Forecasting is hard. Forecasting the future of fashion is insanely hard. As a result, for most part, the fashion industry still relies on crude methods such as Open-To-Buy which are nothing but glorified top-down moving averages. Yet, most supply chain practitioners would argue that as long as there isn’t something that can actually beat Open-To-Buy in the real world, then Open-To-Buy isn’t outdated, no matter how crude the method might be. In fact, until recently, our own observations were aligned with what fashion companies were telling us: nothing really works for fashion, and guesswork remains the best option among all the other, even less satisfactory, alternatives.

Our probabilistic forecasting engine, released last year, became a game changer for fashion. After years of struggling with fashion demand patterns, we finally have a forecasting engine that is natively architectured towards the specific challenges of the fashion sector. Over the last couple of months, we have been driving the supply chains of multiple fashion companies, and well, it actually works! Considering the track record of forecasting vendors in the fashion industry, the odds weren’t really in our favor.

Demand in fashion is typically driven by novelty, and new products come together through collections. Collections are essential from the fashion perspective; yet, at the same time, they represent a massive forecasting challenge.

The demand needs to be forecast for products that haven’t been sold yet.

Fashion isn’t about products that haven’t been sold for long, fashion is about products that haven’t been sold at all. This perspective is a fundamental mismatch with the time-series forecasting approach that represents the foundation of nearly all forecasting systems - not Lokad though. Indeed, from a time-series perspective, in the case of fashion, time-series have zero historical depth, hence there is nothing to rely on for the purpose of forecasting.

Lokad’s probabilistic forecasting engine takes a completely different stance: it actively leverages the different product attributes: brand, style, color, fabric, size, price point, category, etc, in order to build a demand forecast based on the performance of similar products in the previous collections.

One of the things that Lokad’s forecasting engine does not do is to require products to be manually paired between collections. First, establishing those pairs is very complicated and extremely time-consuming. Supply chain practitioners are not supposed to be the slaves of their own systems; if the systems require thousands of products to be manually paired, chances are that this time would be better invested in producing a manual forecast that directly benefits from human insights. Second, in fashion, 1-to-1 mapping between the old and the new collections does not actually make any sense most of the time. New collections are likely to redefine the codes in subtle yet important ways: one product may become many, and vice-versa. A methodology that exclusively relies on 1-to-1 pairings is guaranteed to deliver rather naive results about the future collections.

Lokad’s forecasting engine is all about computing all those similarities in a fully automated manner through machine learning algorithms. Artificial Intelligence is now all the rage in the media, but under the surface it boils down to machine learning algorithms that have undergone steady and yet gradual progress over the last 3 decades. Lokad leverages several classes of machine learning algorithms, tailored for supply chain purposes.

In addition, Lokad delivers probabilistic forecasts. Instead delivering one demand forecast - the median or the mean - that is (nearly) guaranteed to be incorrect, Lokad delivers the probabilities for (nearly) all the demand scenarios. This aspect is of critical importance for the fashion industry because uncertainty is irreducible; and good supply order frequently boils down to a risk analysis.

In fashion, the two main risks are lost opportunities if there is not enough stock, and stock depreciations if the goods have to be sold with a very aggressive discount during the sales period - in order to liquidate the remaining stocks of a collection. Lokad has native capabilities to deal with this specific risk analysis that is so important in fashion.

Intrigued by Lokad’s capabilities for fashion? Don’t hesitate to book a demo call with us.

Catering menu

Catering menu


Estelle Gourmet

Estelle Gourmet's Catering Menu

Estée Lauder | Shop Estée Lauder Online - House of Fraser

Estée Lauder | Shop Estée Lauder Online - House of Fraser


House of Fraser

Buy the latest from Estée Lauder at House of Fraser with delivery FREE for orders over £50. Or buy online & collect in store.

Estelle Ryan's books

Estelle Ryan's books


Estelle Ryan

Estelle Ryan's books

Entropy analysis for supply chain IT system discovery

by Joannes Vermorel @ Quantitative Supply Chain - Lokad

The IT landscape of supply chains is nearly always complex. Indeed, by nature, supply chains involve multiple actors, multiple sites, multiple systems, etc. As a result, building data-driven insights in supply chains is a challenge due to the sheer heterogeneity of the IT landscape. Too frequently, supply chain analytics deliver nonsensical results precisely because of underlying garbage in, garbage out problems.

At Lokad, we have not only developed a practice that thoroughly surveys the IT landscape and the datasets inhabiting it, but we have also created some bits of technology to facilitate the surveying operations themselves. In this post, we detail one step of our surveying methodology, which is based on Shannon entropy. We successfully leveraged entropy analysis for several large scale supply chain initiatives.

Our surveying process starts by reviewing all the database tables that are understood to be relevant for the supply chain initiative. Supply chains are complex and, consequently, the IT systems that operate the supply chains reflect this complexity. Moreover, the IT systems might have been evolving for several decades, and layers of complexity tend to take over those systems. As a result, it’s not uncommon to identify dozens of database tables with each table having dozens of columns, i.e. fields in the database terminology.

For large supply chains, we have observed situations where the total number of distinct fields are above 10,000. By leveraging entropy analysis, we are able to remove half of the columns from the picture immediately and consequently reduce the remaining amount of work significantly.

Dealing with that many columns is a major undertaking. The problem is not data-processing capabilities: with cloud computing and adequate data storage, it’s relatively straightforward to process thousands of columns. The real challenge is to make sense of all those fields. As a rule of thumb, we estimate that well-written documentation of a field takes up about one page, when interesting use cases and edge cases are covered. Without proper documentation of the data, data semantics are lost, and odds are very high that any complex analysis performed on the data will suffer from massive garbage in garbage out headaches. Thus, with 10,000 fields, we are faced with the production of a 10,000-page manual, which demands a really monumental effort.

Yet, we have observed that those large IT systems also carry a massive amount of dead weight. While the raw number of fields appear to very high, in practice, it does not mean that every column found in the system contains meaningful data. At the extreme, the column might be entirely empty or constant and, thus, contain no information whatsoever. A few fields can be immediately discarded because they are truly empty. However, we have observed that fully empty fields are actually pretty rare. Sometimes, the only non-constant information in the column dates from the day when the system was turned on; the field was never to be reused afterward. While truly empty fields are relatively rare, we usually observe that degenerate fields are extremely numerous. These fields contain columns with almost no data, well below any reasonable threshold to leverage this data for production purposes.

For example, a PurchaseOrders table containing over one million rows might have an Incoterms column that is non-empty in only 100 rows; furthermore, all those rows are more than five years old, and 90 rows contain the enry thisisatest. In this case, the field Incoterms is clearly degenerate, and there is no point in even trying to make sense of this data. Yet, a naive SQL filter will fail to identify such a column as degenerate.

Thus, a tool to identify degenerate columns is needed. It turns out that Shannon entropy is an excellent candidate. Shannon entropy is a mathematical tool to measure the quantity of information that is contained in a message. The entropy is measured in Shannons, which is a unit of measurement somewhat akin to bits of information. By treating the values found in the column itself as the message, Shannon entropy gives us a measure of the information contained in the column expressed in Shannons.

While all of this might sound highly theoretical, putting this insight into practice is extremely straightforward. All it takes is to use the entropy() aggregator provided by Envision. The tiny script below illustrates how we can use Envision to produce the entropy analysis of a table with 3 fields.

read "data.csv" as T[*]
show table "List of entropies" with
  entropy(T.Field1)
  entropy(T.Field2)
  entropy(T.Field3)


Any field associated with an entropy lower than 0.1 is a very good indicator of a degenerate column. If the entropy is lower than 0.01, the column is guaranteed to be degenerate.

Our experience indicates that performing an initial filtering based on entropy measurements reliably eliminates between one-third and two-thirds of the initial fields from the scope of interest. The savings in time and efforts are very substantial: for large supply chain projects, we are talking about man-years being saved through this analysis.

We unintentionally discovered a positive side effect of entropy filtering: it lowers the IT fatigue associated with the (re)discovery of the IT systems. Indeed, investigating a degenerate field typically proves to be an exhausting task. As the field is not used - sometimes not used any more - nobody is quite sure whether the field is truly degenerate or if the field is playing a critical, but obscure, role in the supply chain processes. Because of the complexities of supply chains, there is frequently nobody who can positively affirm that a given field is not used. Entropy filtering immediately eliminates the worst offenders that are guaranteed to lead us on a wild-goose chase.

Estelle: New Album: True Romance

Estelle: New Album: True Romance


PledgeMusic

Hi Darlings! Pre-Order my album today for updates, VIP experiences and exclusive merchandise.

Art Deco Estelle Order Of Service Four Page Booklet

Art Deco Estelle Order Of Service Four Page Booklet


notonthehighstreet.com

Personalised order of service booklets from the Estelle collectionYou will receive a digital proof of your order of service booklet within 2 working days of receipt of the text. Once you have carefully checked and approved the design and text we will send the artwork to print. If we need to make any amends prior to printing, we will do so and follow up with another proof for you to accept. Please note that we allow 7-10 working days for delivery from approval of the proof. If you have any questions please contact us by the 'ask seller a question' link above.Miniumum order of 30. If you would like to order a sample please purchase one from the drop down menu. Samples will be dispatched within 3-5 days but can not be personalised.Add the finishing touch to your wedding ceremony with these art deco four page A5 order of service booklets. Printed on 325gsm smooth or 250gsm textured card stock (we recommend the textured card!)Each booklet can hold up to 575 words.Once you have placed an order, we will get in touch to request the text for your booklet.Printed on 250gsm textured Gesso card or smooth 325gsm card stock.Folded to A5 size (14.8cm w x 21 cm h)

Law & Order

Law & Order


TVGuide.com

Find out when and where you can watch Law & Order episodes with TVGuide's full tv listings - you'll never miss another moment from your favorite show!

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Estee Lauder Double Wear Zero-Smudge Lengthening Mascara 01 Black
$21.45
Estee Lauder Perfectionist Youth-Infusing Makeup Spf 25, Pebble, 1 Ounce
$45.00
Estee Lauder - Lauder Eau De Cologne Spray - 3.4 oz
$72.88
Estee Lauder Beautiful Women Edp Spray, 2.5 Ounce
$50.11
Pleasures by Estee Lauder for Men, 3.4 Ounce EDC Spray
$37.11
Estee Lauder Beautiful Eau de Parfum Spray for Women, 1.0 Fluid Ounce
$32.60
Estee Lauder Daywear Advanced Multi Protection Anti Oxidant Creme All Skin Types for Unisex, 1.7 Ounce
$52.00
Estee Lauder 'Pleasures' Eau de Parfum Spray, 1.7 oz
$40.00
Estee Lauder Daywear Advanced Multi-protection Anti-oxidant Creme SPF 15 (Travel Size 15ml / .5 oz)
$11.79
New! 2016 Estee Lauder 7-PC Skincare Makeup Gift Set, $150 Value
$32.99
Estee Lauder Advanced Night Repair Synchronized Recovery Complex II - (0.24 oz) Travel Size
$5.99
Estee Lauder Re-Nutriv Kit for Unisex
$94.97
Estee Lauder Resilience Lift Firming/sculpting Eye Creme 5ml*3=15ml No Box
$26.99
Estee Lauder Modern Muse Le Rouge Women's Eau de Parfum Spray, 3.4 Ounce
$110.00
Estee Lauder Take It Away Makeup Remover Lotion for Unisex, 6.7 Ounce
$28.00
Lot of 3 x 1 oz Estee Lauder Perfectly Clean Splash Away Foaming Cleanser
$19.99
Estee Lauder Pure Color Gloss Mini
$25.00
Estee Lauder Automatic Brow Pencil Duo Refill 05 Soft Brown
$13.77
Estee Lauder Perfectly Clean Multi-Action Creme Cleanser/Moisture Mask, 5.0 Ounce
$25.00
Lot 2 X Estee Lauder Resilience Lift Firming/sculpting Face & Neck Creme, 0.5 Oz Each
$29.40
Estee Lauder Beautiful Eau de Parfum Rollerball, 0.2 Fluid Ounce
$15.38
Estee Lauder New Dimension Shape + Fill Expert Serum - 4 in 1 Pack (0.24 oz X 4 = 1 oz Full Size)
$30.95
Estee Lauder - Mascara - Sumptuous Extreme Lash Multiplying Volume Mascara -Sumptuous Extreme Lash Multiplying Volume Mascara - # 01 Extreme Black 8ml/0.27oz Estee Lauder
$29.49
Estee Lauder Advanced Night Repair Eye Synchronized Complex II 15 ml/0.5 oz (Jar of 3, 5 ml/0.17 oz each)
$32.90
Youth Dew By Estee Lauder For Women, Dusting Powder, 7-Ounces
$37.00
Estee Lauder Double Wear Maximum Cover Camouflage Makeup Creamy Vanilla 03 for Face and Body SPF 15
$43.00
Estee Lauder Sumptuous Infinite Daring Length plus Volume Mascara, 0.21 Ounce
$26.00
Pleasures/Estee Lauder Edp Spray 1.0 Oz (W)
$40.00
Estee Lauder Resilience Lift Firming/Sculpting Face and Neck Creme SPF 15 for Dry Skin, 1.7 Ounce
$78.00
Estee Lauder Sumptuous Bold Volume Lifting Mascara Black for Women, 0.21 Ounce
$24.00
Estee Lauder Hydrationist Maximum Moisture Creme Normal/Combination Skin for Unisex, 1.7 Ounce
$44.00
Estee Lauder Double Wear Zero-Smudge Lengthening Mascara Black for Women, 0.22 Ounce
$24.00
Estee Lauder Double Wear Stay-in-Place Eye Pencil Coffee for Women, 0.04 Ounce
$22.00
Estee Lauder Pure Color Long Lasting Lipstick #88 Rubellite Shimmer
$15.99
Estee Lauder Stress Relief Eye Mask, 10 Count
$38.21
Estee Lauder Daywear Multi Protection Anti Oxidant Sheer Tint Release Moisturizer for Women, 1.7 Fluid Ounce
$64.00
Estee Lauder Travel Set/kit: Advanced Night Repair Eye Synchronized Complex 5ml*3=15 Ml
$34.99
Cinnabar By Estee Lauder For Women. Eau De Parfum Spray 1.7-Ounces
$47.65
Estee Lauder Brown Chain Design Fabric Cosmetic Makeup Bag ~ 9.5" x 6.5" NEW!
$0.54
Estee Lauder Double Wear Infinite Women's Waterproof Eyeliner, Espresso, 0.01 Ounce
$24.00
Estee Lauder Illuminating Perfecting Primer Normal/Combination and Dry Skin for Women, 1.0 Ounce
$19.31
Estee Lauder Youth Dew Roll-On Deodorant - 75ml/2.5oz
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