October 26, 2009 – 10:30 pm
The manufacturers should be giving the dealers guidance on what to stock and order based on their global visibility into sales and customer buying trends. Customers buy combinations of features, and they do this in predictable ways. Detecting and using the patterns can make inventory turn faster, even if, technically, it doesn’t exist.
October 19, 2009 – 8:00 am
Products have so many choices. Customers hate the experience of having to answer 50 questions to get to selection. Asking them 50 questions translates to poor customer experience and it is actually bad for you too. Here is why. Every sale begins with a customer calling out the top [...]
By John Maller
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Posted in Uncategorized
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Also tagged amr, analytics, CRM, cross sell, customer buying patterns, customer experience, herd buying patterns, product alternatives, product choices, product selection, recommendation engine, sales cycle, sales productivity, suggestive selling, upsell
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October 15, 2009 – 6:37 pm
Buying patterns are real, and they manifest themselves in how customers buy combinations of options. With the computing power we have available today we can detect and capture them. These patterns can then be used to design “house specials”, forecast future sales, and guide customers to what we want to sell them.
By John Maller
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Posted in Uncategorized
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Also tagged analytics, business analytics, buying patterns, crosselling, customer fulfillment, customers, online marketing analytics, patterns, POS data, product affinity, product choices, profit, sales, sales analytics, upsell
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October 12, 2009 – 2:19 pm
First order take rates tell us about the relative popularity of different options. For example, consider a small set of possible pizza toppings.
Topping
Take Rate
Pepperoni
40%
Mushrooms
20%
Pineapple
3%
Canadian Bacon
3%
Green Peppers
10%
Customer buying patterns really start with second order take rates, which tell us about pairs of options, or toppings. Second order take rates tell us about relative [...]
By Roy Marsten
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Posted in Uncategorized
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Also tagged analytics, attach rate, business analytics, customer fulfillment, long tail, online marketing analytics, patterns, product complexity, product management, product mix, sales analytics
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September 22, 2009 – 5:29 pm
Knowing who is buying what, where and why is “True Demand Intelligence”.
By John Maller
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Posted in Uncategorized
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Also tagged analytics, attributes, attribution, buying patterns, crosselling, demand sensing, Intelligence, patterns, POS data, predictive analytics, product choices, sales, SKU, up-selling, variety
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August 27, 2009 – 3:25 pm
If a product is too complex, where is the complexity coming from? Which features are causing the explosion in the number of build combinations? The stairway to complexity tells us where to look.
The stairway to complexity shows how the number of unique configurations drops as features are removed. Here is another stairway for a [...]
August 26, 2009 – 10:41 am
Product complexity is driven by large number of options. Companies struggle to determine which feature choices are driving complexity. They typically “randomly cut choices” to streamline and rationalize SKUs. The cost of product complexity is tremendous on engineering. The current PLM systems do not have a method to measure this and provide intelligent feedback to engineers on how to standardize platforms to reduce engineering and maintenance costs.
This article clearly details the metrics around product complexity and how to solve this issue.
August 25, 2009 – 1:55 pm
The number of build combinations depends on which features are included. The build combinations is the product mix or the marketing mix. Understanding this is important as product complexity is a key driver of process complexity.
August 21, 2009 – 3:39 pm
A product is a collection of features, and each feature has mutually exclusive options. If a feature has only two options, then the choice is like a coin toss. The information contained in that choice is measured by entropy.
Entropy is a concept from classical thermodynamics that deals with the amount of disorder in a [...]
August 20, 2009 – 4:55 pm
Self service is a term we all know, such as pay-at-the-pump gas and self-checkout stations at some grocery stores, and now more obscure things like video game kiosks by GameFly, but the true tidal wave of self-service hasn’t even started, and it’s going to be good for both the consumer and the manufacturer, if done [...]
By Russ Caldwell
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Posted in Uncategorized
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Also tagged complexity, configurable product, configurator, cross sell, customers, long tail, margin, POS data, predictive analytics, price, profit, Self Service, SKU, suggestive selling, upsell
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