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Retail Business Review | Tuesday, February 13, 2024
Inventory management enables retailers to make data-informed decisions, reduce costs, enhance customer satisfaction, and ultimately boost profits in an increasingly complex retail landscape.
FREMONT, CA: Inventory management is the lifeblood of the retail industry, but it has become increasingly complex in omnichannel retail. Retailers are now tasked with making countless decisions about thousands of products across various channels, making it challenging to ensure that the right inventory is available in the right place at the right time to capture sales and maximize profit. This complexity often leads to inventory imbalances that can hurt a retailer's bottom line. Insufficient inventory results in out-of-stock lost sales and dissatisfied customers who may turn to competitors. A high carrying cost comes from excessive inventory, which ties up capital.
To thrive in omnichannel retail, retailers must rethink their inventory management processes and adopt a smarter, more streamlined approach that prioritizes profitability. AI-driven inventory optimization tools offer retailers the ability to reduce costs, enhance customer satisfaction, and ultimately increase profits. The journey begins with accurate demand forecasts, a critical component of smart inventory planning. Due to today's omnichannel demand's dynamic and multifaceted nature, traditional forecasting methods often rely on historical data and guesswork. Retailers require AI-driven solutions that provide highly accurate demand forecasts by processing vast datasets and considering numerous variables. These AI tools can adapt to changing demand patterns and help retailers meet evolving customer needs.
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AI-powered forecasting solutions offer retailers enough information to anticipate when and where omnichannel customers will want their orders fulfilled, allowing optimal inventory planning. Forecasting alone is insufficient; action is required for tangible results. Inventory allocation is a pivotal decision point where retailers must position the right products in the right quantities near omnichannel customers. Conventional allocation models often rely on rigid rules set by human inventory planners, which are inadequate in the complex world of omnichannel retail. AI-based solutions prioritize profit maximization and can optimize inventory allocation across the entire demand network, including online and offline channels. This leads to higher sell-through rates and reduced direct costs of goods sold.
Replenishment decisions are another critical aspect of inventory management, where retailers aim to meet specific service levels. Traditionally, these decisions are judgment-driven and based on key performance indicators (KPIs) set by human planners, often conflicting with inventory or financial KPIs. AI-driven, profit-optimized solutions enable retailers to provide exceptional customer service while maximizing profits. They achieve this by using AI-powered omnichannel forecasting to replenish inventory across various channels in anticipation of omnichannel demand. These solutions make daily replenishment decisions, considering product profitability, service costs, demand patterns, and supply chain constraints. They determine how much inventory to hold back and precisely when to replenish at the SKU-location level, ensuring maximized profitability.
In a fast-paced retail environment, inventory positioning requires continuous optimization. AI solutions help retailers rebalance inventory by moving products from underperforming locations to those with higher sales potential. These solutions calculate the expected increase in sales probability for each product during transfers, accounting for when it's unavailable for sale. AI-driven inventory optimization is the key to success for modern retailers navigating the challenges of omnichannel retail.
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