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As the Holidays Approach, it’s Time to Rethink Retail Pricing Methodology…and AI Can Help

Retail TouchPoints

In this kind of shopping environment, how should retailers align their promotions and markdowns for the greatest impact? Where can AI and data-driven pricing solutions help reshape a retailer’s outmoded pricing structure and deliver pricing that fits today’s consumer?

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Mastering Promotional Pricing: Proactive Holiday Strategies to Protect Your Profits

Retail TouchPoints

Navigating holiday retail pricing strategies during times of economic uncertainty requires a delicate balance between reacting to market conditions and maintaining profitability. By optimizing loyalty and customer-specific promotions, retailers can grow baskets, increase trips and maximize long-term value.

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Retail Pricing is a Science – Not an Art

Retail TouchPoints

Discounts within a pricing architecture are frequently deployed when a brand wants to move inventory quickly, which is often the case when faced with bursting warehouses, increasing storage fees and a looming recession.

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The Data Dilemma with Retail Pricing and How to Untangle it

Retail TouchPoints

Many of your retail peers found themselves with the dilemma of missing data — from the lack of customer data, transaction history for certain items or timeframes or sales broken out by sales type (regular/base, promotion and markdown). This is your starting point and your job is to build up and improve it.

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Advanced Retail Pricing Strategy: Unifying PPMO (2022)

Retalon

A good retail pricing strategy is integral – but is it enough? Setting an optimal product price can be a challenging task in today’s dynamic and data-driven retail environment. Missing the mark when setting prices can have a drastic effect on sales and the overall profitability of a retail business.

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Recharge Your Digital Pricing Strategies with Data Science

Retail Focus

Fortunately, there is well-established, proven science-based technology that enables retailers to offer carefully crafted prices, promotions and markdowns in online as well as brick-and-mortar channels. Let’s look at three ways that data science can help retailers thrive in a highly competitive multi-channel environment.

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Supercharge Your Holiday Pricing with AI-powered Data Science

Retail TouchPoints

Human hunches, especially if they are based on behaviors from past years, are not sufficient in a completely transformed retail landscape. With seasonal items in particular, missing the mark on pricing, even if only a little, often results in excess stock on hand that has very weak demand, necessitating markdowns.

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