INNA KUZNETSOVA

Managing Supply Chain Complexity with the Power of Probabilistic Planning

The current business environment is filled with unprecedented levels of uncertainty and volatility. Economic fluctuations, geopolitical tensions, regulatory hurdles, and rapid technological advancements all contribute to a complex and everevolving landscape. This is particularly pronounced in the supply chain industry, where rapid shifts in customer preferences, fragmented markets, and frequent interruptions-from natural disasters and geopolitical tensions to technological failures and labor strikes-routinely shake up the market.

While there is no crystal ball to predict the future, with the right technology in place and the ability to leverage real-time data, companies can enhance their planning precision, respond swiftly to change, and even turn uncertainty into a strategic advantage.

Delivering Business Value Through Industry Firsts and Ongoing Innovation

Throughout my career, I've had the privilege of leading teams at top technology and supply chain companies, which ultimately led me to my current role as CEO of Tools Group.

ToolsGroup empowers retailers, distributors, and manufacturers to build resilient, high-performing operations. One of our key differentiators is our unique probabilistic planning approach that harnesses the power of artificial intelligence (AI) and real-time enterprise data. This self-tuning system uses machine learning engines (ML) with over 30 years of real-world learnings to identify the probabilities of a wide range of outcomes. This is far more accurate than traditional methods, which use algorithms that try to match past and future demand patterns.