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Retail Business Review | Wednesday, June 12, 2024
Traditional rule-based approaches to inventory allocation do not suffice in today's omnichannel world. Retailers must allocate the right number of products near their customers to avoid excess inventory, markdowns, and missed revenues.
Fremont, CA: Inventory management is crucial for retail businesses in today's complex omnichannel environment. With the rise in customer demands, retailers face the daily challenge of making numerous decisions about thousands of stock-keeping units (SKUs) across various channels. This makes it increasingly challenging to deliver the correct inventory at the right time to maximize sales and profit margin.
Inventory imbalances caused by such level of complexity can harm profits. Retailers with too little inventory risk out-of-stock situations, missed sales, and dissatisfied customers who may choose to shop elsewhere. On the other hand, keeping excess inventory leads to high carrying expenses and ties up capital.
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Retailers must rethink their inventory management strategies to succeed in omnichannel. They require a more intelligent approach where every decision impacts profitability. This is where artificial intelligence (AI) can be of great help.
AI-driven inventory optimization solutions can help retailers save costs, enhance customer satisfaction, and boost profitability. These solutions address key areas such as demand forecasting, inventory allocation, store and distribution centre replenishment, and inventory transfers.
Accurate demand forecasting is essential for intelligent inventory planning. Retailers can no longer rely solely on guesswork and past data to make demand projections. AI solutions can analyze large volumes of data and produce accurate forecasts by accounting for numerous variables and fluctuations in demand. This allows retailers to adjust to their customer's changing needs and estimate the quantity of inventory required.
Traditional rule-based approaches to inventory allocation do not suffice in today's omnichannel world. Retailers must allocate the right number of products near their customers to avoid excess inventory, markdowns, and missed revenues. Similarly, in replenishment decisions, AI-powered solutions can help retailers achieve optimal profit and excellent customer service by anticipating omnichannel demand and considering various factors such as supply chain constraints, demand patterns, product profitability, and service costs. Lastly, AI solutions enable retailers to rebalance inventory based on shifting demand by transferring products from underperforming locations to areas with higher sales potential. These solutions consider the projected rise in probability for each product if a transfer is required.
AI-powered solutions can help retailers make more accurate projections and better decisions, ultimately increasing profitability in today's multichannel retail environment.
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