Part 1 of this blog post series expanded on some of TEC’s earlier articles about companies’ need for better pricing management and optimization practices. This series, which focuses on the complexity of pricing and promotions in retailing, was inspired by JDA Software’s recent “edu-nouncement” on leading retailers’ consumer-centric pricing and promotions strategies and Revionics’ recent (and still ongoing) educational series of Web-seminars.
Part 2 of this blog post series analyzed some common retailers’ practices and explained some of the frequently used vernacular. Then the post went into the building blocks of pricing optimization, starting with setting optimal initial (everyday or base) prices.
Part 3 of this blog post series will analyze the two other building blocks of pricing optimization: promotions and markdowns. Then, the article will go into the next generation of pricing optimization according to JDA: “Lifetime Pricing.”
Increasing Sales with the Proper Promotional Pricing
When used in a smart way, promotions can be powerful tools for increasing customer demand and thus sales and revenue. As is the case with setting basic initial prices from Part 2, to set optimal promotional prices, retailers need to understand a wide range of variables. In addition to the phenomenon of the “cross elasticity” of demand, competitive activity, and brand loyalty, retailers need a thorough understanding of the uplift of demand on other products.
Price changes and the marketing associated with them can have enormous impact on demand. Companies using advanced pricing systems have the ability to proactively plan for this lift, ensuring that inventory is readily available during the promotional period, and that sales opportunities (and customers) are not lost. Forward-thinking retailers use promotion planning and optimization solutions to also evaluate and forecast the likely results from incoming vendor offers, as well as to plan private label and other promotions.
Promotion planning and optimization solutions enable retailers to create and simulate multiple scenarios based on mathematical forecasts of results in order to evaluate tradeoffs among various promotions such as discounts, advertisements, and in-store displays. The optimizing process should be able to predict consumer reaction in terms of what items the retailer should promote, what exact offer it should run, and what its expected sales, margin, profit, and ad loss will be.
Moreover, the retailer could be able to discern how different optimization strategies would impact the forecast as well as to determine the actual versus forecasted results. Key features of promotion planning and optimization solutions typically include:
Optimizing Markdowns: A Tricky Balancing Act for Retailers
Even without the current economic turmoil leading to decreased consumer spending, consumers (myself included) have long been accustomed to mostly buying when items are marked down or are on clearance. Thus, retailers should strive to shift the consumer mindset in terms of markdowns.
Because they create a continuous cycle of lost margin on sales, markdowns should be the last thing that any retailer does in order to get goods off the shelves. The reality, however, is that inventory occasionally must be cleared in order to make room for new items, but retailers need to assess the true profit margin impact. Typical candidates for markdowns are the following: seasonal merchandise (e.g., Halloween paraphernalia or sun-tan lotion), discontinued merchandise or assortment changes, dated products, store closings or department liquidation, inventory resets or forward buys, aged product packaging, and in-and-out inventory sales opportunities.
In other words, retailers must carefully assess the true margin impact of markdowns and partake in the ultimate balancing act in price setting. Tailoring markdown plans by store/location, factoring in the price sensitivity of the customer base, and understanding opportunity costs are essential. Markdown optimization software solutions enable retailers to optimize plans and prices for those items they intend to remove from their assortments, such as end-of-season items, discontinued product lines, or overstocked merchandise.
Retailers use markdown optimization software to eliminate excess inventory by a specified date after which an item will no longer be sold and to maximize profitability of items sold before that date. Retailers should be able to monitor inventory and pricing for selected products and date ranges so that they can achieve the desired liquidation of inventory.
They should be able to view forecasted sales, sell-through, and expected margins. For example, knowing how a 25 percent markdown today will prevent a 50 percent markdown in two weeks is critical to the decision-making process.
Having a comprehensive view of demand with the right pricing optimization solution can make this possible. Equally important is setting localized markdowns based on customer demand at the individual store level. According to a recent survey from the National Retail Federation (NRF) in a Wall Street Journal (WSJ) article, 33 percent of retailers surveyed said they plan to install markdown optimization software systems over the next 18 months to help calculate discounts according to local demand.
Typical features of Markdown Optimization suites should include:
In addition to increased sales volumes and profit margins (from increased income on clearance items and vendor promotion dollars), potential benefits from everyday price optimization could come from reduced out-of-stocks due to more accurate forecasts of promotional lift. Improved forecasting also helps with fine-tuning promotions to hit financial objectives in advance, while productivity can also be improved by learning from the promos of the past and the associated automated reports.
Looking Into Next-generation Price Optimization Solutions
The aforementioned price optimization building blocks can set initial, promotional, and markdown plans while factoring in demand, consumer demographics, cross-product relationships, and convenience sales. Sure, it’s also critical that pricing decisions are not made in a competitive vacuum. By leveraging competitive pricing intelligence these companies have the opportunity to improve the price optimization decision-making process and to drive more effective revenue generation.
Once the areas of initial, promotional, and markdown prices have been addressed, they form a solid foundation for effective lifecycle pricing. Namely, the next step is to integrate price determination with promotional planning and advertising execution strategies to create streamlined workflows within the retail organization.
JDA Software refers to this next evolutionary step as lifecycle pricing, which plays an essential role in creating a valuable customer-centric retail environment. A united planning and execution platform – from accurate price management to advertising and promotional planning – can easily adjust to shifting customer demand and challenging economic conditions.
Most retailers agree that customer-centricity is a top priority to achieving success and competitive differentiation in today’s crowded marketplace. One key component of a customer-centric experience is to successfully implement lifecycle pricing. Along with well-defined pricing strategies, these lifecycle pricing initiatives provide retailers the opportunity to streamline workflows, customize promotional strategies and deliver a consistent price message to their customers.
As a result, retailers can improve customer satisfaction and, ultimately, revenue generation even in tough times. They’re also gaining new insights into how customers shop and respond to pricing, which enables them to align inventory levels with baseline and promotional demand.
Explaining the Pricing “Rocket Science” (Sort Of)
Most advanced science-based lifecycle pricing software applies advanced statistical analytics in several areas. For example, DemandTec’s Consumer Demand Management (CDM) software suite is available in versions tailored to the needs of retailers and consumer packaged goods (CPG) manufacturers. The vendor’s applications, which include tools for managing pricing, promotions, and markdowns, leverage the following sophisticated statistical analytics methods:
Part 4 will continue the blog post series by analyzing the pricing optimization vendor landscape and various vendor approaches to the next generation of pricing optimization solutions. Your views, comments, opinions, etc. about any above-mentioned pricing solution and about the software category per se are welcome in the meantime. We would also be interested in hearing about your experiences with this nascent software category (if you are an existing user) or your general interest in evaluating these solutions as prospective customers.