Author Archives: Russ Caldwell

Self-Service simplifies Product Offerings and increases Margins

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 right.

Self Service Grocery Scanner

Self Service Grocery Scanner

When you checkout your soda and cereal by swiping products across a scanner at the auto-checkout stations, there isn’t much complexity other than when you get a problem with the scanner reading a smudged bar code or trying to locate the button for ’snap beans’ when you put those on the scale.  The transaction is smooth, quick and you are in control, which is a good feeling as a buyer, you are not being sold, you are buying just what you want, quickly and easily.

But what happens if you try to buy a “configurable product“?  In the grocery store, the only thing configurable is the weight of produce, but other than that, the costs and configurations are set in stone and are detected by reading the bar codes.  Easy to understand as the buyer and relatively easy to deal with as the seller.  Configurable products are those where you have to make many choices before you can order the one product.  Products like computers, cars and thousands of others where the buyer has to describe their preferences or choices so the product can be created and delivered.  It’s even more complex in a B2B environment than it is in B2C, where the products available and choices are astronomical.  Products like Lighting, Valves, Agriculture and Construction Equipment, Lifts, Electrical equipment, cooking equipment and conveyors have more choices and variants than you can imagine and that variety makes it hard to order, build and deliver efficiently.

Usually a large direct sales force is sent out with complex price books (sometimes online in PDF form) to sit with customers and prospects and help them combine choices in hopefully valid ways.  The choices a customer have to make are quite extensive, ranging from tens to hundreds of choices.  Most of these choices the customer doesn’t care about, but they are required by the manufacturer just so they can build a valid product.  Customers care about the few things that matter to them but after that, they will just choose things that “seem to make sense” just to complete the order.  Sometimes they don’t even do that, they get so frustrated with 60 more questions about features and options on the product (many of which they don’t understand) that they walk away.

In some cases companies believe that putting in a configurator is the solution to their problem.  Configurator’s automate the order process by ensuring that the order is VALID.  The engineering and marketing rules that drive what can be built and offered are setup in a configurator such that the user ordering the product is led through valid questions and end up with a build-able product.  Now this product may be build-able but it also may be a one-off low-margin brand new SKU that manufacturing hasn’t built before and requires some parts they aren’t carrying at this time.  All this for something that was only 2 choices from a very popular configuration.  And those 2 differences only happened because the customer was asked 20 more questions after they entered the 5 things they cared about.  They chose as best they could, but without any guidance or suggestions, ended up on a new SKU which will ultimately explode into huge numbers of parts and processes to support the new SKU.

Now if the customer only had to enter the 5 things they cared about and the system recommended the combination of other choices such that the customer’s price limit was met and the configuration wasn’t a new SKU and the SKU had a good margin, then it would have been a win-win for everyone.  And the whole process could be complete quickly and easily.  The customer wouldn’t have to answer any other questions and would feel that same feeling that you do when you swipe your can of soup across the scanner at the market.  The manufacturer wins as well because the customer was guided toward an existing configuration so the cost of creating and supporting a new SKU was avoided.  It’s happening now with recommendation engines that leverage buying patterns to suggest full configurations based on the few attributes a customer gives it.  Just like Amazon can recommend other books you might want to read based on the current “fly fishing” book you are looking at now, suggestion engines can be utilized to provide this convenience for much more complex products.

That’s the self-service tidal wave that’s coming, when all products, not matter how complicated can be ordered by simply asking for the attributes that YOU care about, what your price limit is and then Voila! it’s done.  Customers will order more from companies that offer this convenience.  Just think about how often you walk into the gas station to pay as opposed to pay at the pump.  And if you had two stations to fill up at, one was pay at the pump and the other required you stand in line after pumping the gas, which do you think you would most often go to?  Simplification is good for everyone, and profitable too.

Stop product complexity at the door

In any manufacturing company that builds configurable products, there is a lot of discussion around what product complexity is. What’s interesting is that when times are good and there are lots of sales, the discussion is usually around how to simplify or streamline with the goal to sell more product even faster, that complexity is keeping sales from going even higher. In bad times, the discussion typically moves to how complexity is causing undue stress on the supply chain, creating problems with parts forecasting, quality and finished goods inventory.

Rarely do these discussions end with participants really agreeing about exactly what complexity is or how to reduce it. Solutions are attempted with internal projects like SKU reduction and part number reduction initiatives driven by Six Sigma teams that mean well and do good work, but usually are chasing the tail of the complexity dog, rather than leashing it for good and guiding it to higher profits, lower forecasting errors, even shorter sales cycles.

Read More »

The Root Cause of Product Complexity!

Emcien defines product complexity as simply the ability to predict what the next order coming into the company will be.

Think about it: If you only made product configuration A, you have 100% confidence in knowing that the next order in the door will be configuration A (assuming you get an order in the door at all, not a total given in this economy). But if you have configurations A and B, it’s harder to know and with A, B and C, it’s even harder, and so on. When you have thousands of configurations, predicting the next one is very difficult.

It’s not just the number of configurations that’s important but also how they’re distributed. If I have 10 configurations but 90% of my orders are for config A, then it’s still safe to predict that the next order is config A. But having 10 configs that have each been ordered 10% of the time is extremely complex!

Read More »