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Retail Business Review | Monday, February 07, 2022
It will likely directly utilize AI in supply chain management to support and enhance retail marketing efforts.
FREMONT, CA: From using computer vision to tailor real-time promotions to applying machine learning for inventory management, retailers can leverage AI to connect with their consumers and operate more efficiently. AI can directly support and encourage retail marketing initiatives when utilized intentionally in supply chain management.
Today's technology companies present AI-based supply chain optimization solutions for customer products and retail companies. While supply chain managers are the prior beneficiaries of the technology, marketing teams can benefit from the insights offered by AI in the supply chain.
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Marketing Takes a Proactive Role
Marketing and supply chain management share one feature: they are often cost-cutting initiatives. Yet, this no more holds in the digital era. The lifespan of a product—and a marketing campaign—is revving at an exceptional rate. Customers expect faster, more customized shopping experiences because of the ever-accelerating retail cycle.
This rapid pace makes risk prediction and mitigation hard for retailers. Historically, this may not have been an issue in a slower-paced retail environment. Regardless, businesses may struggle to continue with changing customer demand or when a global event influences the supply chain without proactive risk management.
Marketers must be fierce in developing supply chain strategies according to forecasts. Business leaders can form precise projections and expect demand with a supply chain management system, and marketers can utilize this data to notify their strategy.
Marketing becomes proactive with supply chain data as efforts are outfitted to anticipate supply chain requirements and want well before their occurrence. In aggregate, this helps businesses in reducing risk, optimize sales, and increase profits—all of which are the main objectives of marketing and supply chain management teams.
AI allows businesses in the consumer products and retail sectors to make more accurate forecasts. Production processes, supply chain constraints, and purchasing patterns and habits are considered. With more precise forecasts—ones concentrated on risk mitigation and product optimization—marketers can create campaigns consistent with these predictions.
This is important when considering a product's lifecycle, from its initial appearance on the shelf to its discounting and promotion. Accurate forecasts can help marketers choose the optimal timing of these processes to raise profit and minimize loss.
By releasing the guesswork from consumer demand, AI is remaking retail marketing.
Data-driven campaigns can help retailers and consumer product companies reduce risk by creating a more stable business environment and accurately meeting customer demand. Any marketing strategy must emphasize the customer, and accurate forecasting encourages marketers to expect the customer's needs.
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