Soap-makers of the world, unite!
Henry Ford once famously quipped about the Model T car in 1909- Any customer can have a car painted any color that he wants so long as it is black. As I hurriedly move around the aisle of the local Kroger Grocery store looking for a particular brand of I-forgot-what; I couldn't help but think that this was perhaps the best instance of SKU optimization ever done!
But this is 2011, and things have become a tad more complex ever since. CPG companies are looking to hold on to their market share- at the added cost of increasing their SKU portfolio; retailers are looking to streamline their aisles, lessening clutter and increasing their efficiency; and above all- customers are looking for simplicity in the choices they have once they enter the retail stores rather than the overwhelming assortment of confetti colored, similar looking products that craves for attention across the aisles.
Although many would have liked us to believe, but the fact is that just having a presence in the social networking bandwagon won't suffice if the CPG companies were to win the battle in the stores. Like a duck which is frenetically paddling underneath but shows a Zen like calmness on the surface- there is hard work being done by the enterprising CPG companies to stay ahead of the curve and optimize their SKU portfolios.
Michael E. Porter's 5-forces model more or less defines the market strategy that an organization can employ to gain the maximum on its limited resources, increase RoI and maintain their competitive advantage. For most CPG companies reducing SKU complexity and joining the lean-trim bandwagon might be the most obvious thing to do. CPG companies are looking deep at their tactical and strategic factors to come up with a win-win formula and SKU Optimization is a clog in that wheel of success; albeit an important one. An ideal situation for strategic decision makers keen on a strong SKU Optimization process is to keep on reducing the number of Stock keeping units as much as possible- which in turn would lower costs, reduce losses due to OOS (Out of stock) of the Power SKUs, and efficient economies of scale.
The devil is in the detail, or in the realm of BI we call it 'data'- sometimes for the lack of it and sometimes for the overkill. In order to generate reports on key SKU Optimization metrics we are looking at synergy between disparate data sources, business intelligence and reporting tools, and various departments within an organization with their own agenda. Moreover, there is always a trade-off between the cost of acquiring the data and analyzing it to make sense vs. the incremental benefit the business users derive out of the report. They must look for answers to critical questions like which bottom SKUs to trim, which are my power SKUs, how much market share I'm willing to lose to retain my cost competitiveness and so on.
BI professionals are looking at combining data from disparate sources like Shipments, SAP, Nielsen, AOD and then normalizing the metrics to give a clearer, common picture of the state of the business and making it simpler (1-2 click reports) for the users to analyze the report more effectively and make real time business decisions in a collaborative mode. For a truly global CPG company, we are talking about similar reports being generated across geographies and more standardized the process, more optimal is the output. A typical SKU Portfolio Optimization report typically consists of SKU Count, Productivity, and Ranking of SKUs details and the decision makers are able to slice and dice the filters to suit their needs.
The data is the hard fact, how it is interpreted to suit strategic and tactical needs is of the essence and to roll it out for multiple categories, brands, SKUs, Business Units, Channel will define the thin line between success and failure. For instance, A Loss Leader strategy employed by a CPG company will obviously have a different philosophy than say a Profit Maximization Strategy.
An example-
While analyzing the SKU Optimizations report details we might observe that a particular SKU is sold only to the Bottom 3-4 Customers.
The questions that immediately comes to our minds are-
· Is that a strategic decision? Why are we even selling this
product to the bottom customers only? Are they a strategic partner in some
other Geography?
·
Can we stop manufacturing these SKUs and replace them by
the Top selling SKUs? This will reduce my costs, reduce OOS and will give me
more space in the aisles for my Top SKUs.
· Or wait!! Are these my discontinued SKUs that are being liquidated and sold to the bottom customers?
Although the CPG companies may not like it, but reducing their long tail SKUs which makes up for say, the bottom 10-12% volume SKUs as their 'one-size-fits-all' SKU optimization strategy is an adventure waiting to unfold. The objective of a good SKU Optimization initiative remains the same- Reduce OOS, optimize the retail space and save on fixed and variable costs. SKU Optimization, for a fact, is the journey; the traveler needs to decide where they want to go!
At the Kroger store, I saw some promotional packs of a particular brand of chips in the aisles- and then I thought to myself- what a terrible waste!! Extra production shifts, marketing costs, extra packaging, one additional SKU, added complexity and what not.
Am I becoming cynical? I don't know. I just wish for a simpler, clutter free and efficient world. Well, isn't that a truism?!



