#USA #New York #Supply Chain #AI Adoption #Retail Innovation

The Race to Improve Retail Decision-Making in 2026

The recently released 2026 Retail Resilience & AI Adoption Study conducted by Incisiv in collaboration with the World Retail Congress and Anaplan sheds light on a pressing issue in the retail sector: slow decision-making processes that cost retailers significant revenue. This comprehensive survey, which engaged 298 merchandise planning and supply chain executives across North America and EMEA, highlights a growing performance disparity between retailers who have embraced responsive supply chain practices and those clinging to outdated planning methods.

Key Findings of the Study

The survey's results reveal that leading retailers achieve an impressive 71% full-price sell-through rate, a stark contrast to the mere 57% observed across the industry at large. This 14-point gap isn’t a result of superior products or favorable market conditions but rather an indication of how swiftly these organizations can respond to demand signals. As retailers face mounting pressure to optimize their operations, these findings emphasize the value of agility and responsiveness in today's fast-paced retail landscape.

One key insight is the notion of the Latency Tax—for every dollar earned, around 5 cents are lost or jeopardized due to the inability to act quickly enough. This latency is not merely a reflection of market conditions but rather a consequence of operational choices. The study indicates that a 3-cent gap exists between the leading retailers and the overall industry, which signifies an opportunity for growth and recovery.

Slow Responses Cost Big

The study highlights that two-thirds of retailers estimate they lose 3% or more of annual sales simply because they cannot keep pace with shifting consumer demands. An astounding third of these executives put their losses above 6%. For larger retailers, especially those with annual revenues exceeding a billion dollars, this could translate to a staggering $60 million in potential yearly losses.

A significant factor contributing to these losses is the infrequency of inventory adjustments; around 69% of respondents said they rebalance inventory monthly or even less often, while 78% adjust upstream supply on a quarterly basis or slower—despite having access to real-time demand signals.

AI Adoption and Readiness

The study also delves into the AI readiness gap prevalent in retail, where 85% of executives recognize AI's importance in various retail functions. However, a startling 60-percentage-point divergence exists between this recognition and actual implementation. Only 31% have adopted AI for demand forecasting, and a mere 13% for exception management—areas where rapid decision-making is crucial.

With predictions that over half of supply chain roles will require fundamentally different skills by 2030, organizations risk falling short in workforce readiness. Notably, only 11% of retail teams have received any AI training thus far. Without addressing this training gap, retailers may find themselves either second-guessing AI outputs or indiscriminately accepting them without proper evaluation.

Leaders Emerge as Pacesetters

Interestingly, the study categorizes responses based on operational maturity. The leading retailers—the top 10%—have taken deliberate, consistent steps in enhancing their operational strategies. For instance, 90% of these leaders refresh demand forecasts on a weekly or real-time basis, significantly higher than the two-thirds of the industry still adhering to outdated monthly or quarterly cycles. Furthermore, 24% have successfully unified cross-functional incentives, five times the industry average, promoting collaborative and swift actions based on shared insights. A remarkable 76% operate at system-recommended or autonomous AI decision levels.

As Gaurav Pant, Chief Insights Officer at Incisiv noted, the landscape of retail competition is shifting away from who has the best forecasts and towards those who can translate insights into action effectively. Retailers that prioritize the integration of AI-driven tools to enhance core planning workflows are the ones making informed, timely decisions that ultimately set them apart from their competitors.

A Path Forward for Retailers

The next steps for retailers are clear from the example set by these leaders. Businesses must compress planning cycles to mirror demand fluctuations and align incentives to foster a culture of collaborative action. Transitioning AI from merely an analytical overlay to becoming integral in decision-making processes is crucial. Not least, there must be a focus on preparing the workforce for future transformations, embracing rather than resisting AI adoption. The retail competitive landscape is increasingly defined not by those who invest in AI but by those who leverage these investments to make faster and smarter decisions.

Conclusion

Overall, the 2026 Supply Chain Resilience & AI Adoption Study serves as a wake-up call for retailers worldwide. To not just survive but thrive in an ever-evolving market, they must act swiftly to overcome the challenges posed by slow decision-making, leveraging cutting-edge technologies like AI to enhance their operational responsiveness and ultimately protect their revenue streams.