Predictive Analytics Demo Series: Optimizing Brand Assortment

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Predictive Analytics Demo Series Optimizing Brand Assortment

Transcript of Predictive Analytics Demo Series: Optimizing Brand Assortment

Page 1: Predictive Analytics Demo Series: Optimizing Brand Assortment

Predictive Analytics Demo SeriesOptimizing Brand Assortment

Page 2: Predictive Analytics Demo Series: Optimizing Brand Assortment

Agenda

• Introduction to Celect• Current State of Retail• Understanding Customer Choice • The Big Picture Planning Process• Demo – Optimizing Brand Assortment

© 2016 Celect, Inc. All Rights Reserved.2

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An Intro to Celect

• Who we are‒ Predictive analytics SaaS platform for retail‒ Based in Boston, MA‒ Venture-backed, technology out of MIT

• Awards & Recognitions‒ MIT Computer Science and Artificial

Intelligence (CSAIL) Top 50 Greatest Innovations

© 2016 Celect, Inc. All Rights Reserved.3

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© 2016 Celect, Inc. All Rights Reserved.4

“For years, online retailers such as Amazon have built their businesses models around algorithms that track and predict how we purchase things

online—using a method called machine learning. Celect aims to do the same for traditional retailers.”

The hat whisperers: This Boston startup tracks shopper’s habits to help brick-and-mortar stores make sales

Boston Globe, June 25, 2015

“New solution providers like Celectpound through volumes of a retailer’s transactional data as well as customer footfall to more effectively execute its

merchandise allocation”

Web Style Analytics Enters The Retail StoreForrester Research, Inc., March 30, 2016

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Current State of Retail

© 2016 Celect, Inc. All Rights Reserved.5

Retailers are Awash in Data

Inventory, PoS, browse history,

transaction logs, search, etc.

Online/Offline are Blurring

Merchants often have responsibility for both online and

in-store

Need for Growth Opportunities

Improved Allocation, Buy Accuracy,

Assortment Planning

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How are decisions being made today?

© 2016 Celect, Inc. All Rights Reserved.6

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There’s a Better Way

© 2016 Celect, Inc. All Rights Reserved.7

Bring Science to the Art of

Retail

• Supplement your experiences, knowledge, and intuition with machine learning

• Leverage the data you already have

Predicting Customer

Choice

• How products interact and influence each other • Assortment Planning, Buy Accuracy, & Allocation

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This answers the questions…

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We sold out of a particular product in Store 28WHAT WAS THE RIGHT ALLOCATION?

We have never sold a particular product in Store 58HOW WELL WOULD IT SELL THERE?

We are looking to add a new brand in to a set of storesWHAT IMPACT WILL THAT HAVE ON STORE SALES?

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Which would perform better in store 54 vs 102?

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Four Way StretchSolid ColorSweat WickingDrawstring hood

Fleece fabricSolid ColorBreathable

Zippered hood… …

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The Retail Process

Plan Buy Allocate Sell Liquidate

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What product and how much should I buy?

Did I over-buy or under-buy?

Is the product in the right stores?

Did I maximize full price sell-

through?

How much margin did we

lose?

PrescriptiveDecisions

Optimized Assortments

Optimized Allocation

Engaged Customers

Optimized Markdown

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The Retail Process

Plan Buy Allocate Sell Liquidate

© 2016 Celect, Inc. All Rights Reserved.11

What product and how much should I buy?

Did I over-buy or under-buy?

Is the product in the right stores?

Did I maximize full price sell-

through?

How much margin did we

lose?

Prescriptive Decisions

Optimized Assortments

Optimized Allocation

Engaged Customers

Optimized Markdown

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DEMO!

© 2016 Celect, Inc. All Rights Reserved.12

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Thank you!

© 2016 Celect, Inc. All Rights Reserved.13

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