PUNE, MAHARASHTRA, INDIA, August 1, 2025 /EINPresswire.com/ -- Volatility in demand and errors and lack of accuracy in demand forecasting make inventory and supply chain management one of the most difficult operational challenges in the retail business. In this communiqué, the team of 𝗿𝗲𝘁𝗮𝗶𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 of retail and eCommerce consulting firm - YourRetailCoach (YRC) highlights some tips and tactics for addressing demand uncertainty in retail.
𝗜𝗿𝗿𝗲𝗴𝘂𝗹𝗮𝗿𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿
Today, it has become more challenging than ever to predict with a high confidence value as to what customers will prefer to buy next time. Say, if product X sold better over product Y in one month, there is no assurance of a repeat trend. There may be evergreen products that never go out of demand easily but that list is shrinking fast. Different customer segments are driven by different forces. The younger segment tends to shift brands more frequently while households prefer sticking to their routine.
Need for frequent change, expectations of novelty, discounts and cash backs, a rapid inflow of products and brands in markets, extensive options provided by eCommerce, the influence of social media and the rise of infotainment content, and a host of other factors have made it difficult for products stay on the shelves of stores for too long. It is very difficult for retail brands and businesses to incorporate all these factors in their merchandising decisions in one go. This is evident in grocery and departmental stores and supermarkets that prefer to play within the safety nets when it comes to merchandising strategies and decisions.
Sometimes it is difficult even for experienced retail strategy consulting firms to advise on how to deal with new brands with promising products but poor distribution networks and experience in supply chains. It is not advisable for retailers to rely on such new and promising brands without reading the reliability of their supply chains and logistical systems.
𝗧𝗵𝗲 𝗨𝘀𝗲 𝗼𝗳 𝗔𝗜 𝗗𝗲𝗺𝗮𝗻𝗱 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗥𝗲𝘁𝗮𝗶𝗹
Broad AI is something that has already arrived and is changing things big time in the world of business. As a part of retail demand planning software applications, AI-powered tools can process oceans of data from diversified sources like POS systems, web and eCommerce analytics, social media channels, and even external ones like weather and economic data to project demand and market trends with more accuracy than any conventional tool is capable of. The best part of using AI-powered tools is that AI models can learn to improve their performance, unlike traditional software applications that rely on a given set of codes.
With more than ten years of experience in 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗿𝗲𝘁𝗮𝗶𝗹 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴, YRC maintains that today we have reached an age where business data cannot remain confined to respective functions. For retail brands and businesses, it has become necessary to integrate data from their store POS systems, eCommerce systems, inventory management, and supply chains for getting real-time insights on inventory movement (sales, procurement, and logistics). These insights allow them to read actual demand and make changes with more agility. In an 𝗼𝗺𝗻𝗶𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗿𝗲𝘁𝗮𝗶𝗹 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, this integration is quintessential.
CPFR is a relatively new but very effective approach where retailers work in close tandem with suppliers and distributors for improved forecasting accuracy and synchronicity in operations via data sharing.
Dynamic buffer is a contemporary, data-driven approach to inventory management in which buffer stock levels are maintained based on real-time data, predictive analytics, demand variability, lead times, and risk profiles instead of relying on fixed and pre-set benchmarks.
EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability
for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this
article. If you have any complaints or copyright issues related to this article, kindly contact the author above.