Bringing a brand new product to market has at all times been a bet. Even essentially the most skilled producers can misinterpret market demand, overproduce, or miss a crucial pricing window. The result’s a excessive failure price for brand new merchandise, wasted assets, and unsold stock. Conventional forecasting strategies—typically based mostly on a easy three-month rolling common—wrestle to anticipate the fast-changing realities of world markets.
For producers, the lifecycle of a product—launch, manufacturing, gross sales, and eventual discontinuance—hinges on correct predictions. Misjudging demand can imply tying up thousands and thousands in extra inventory, or worse, dropping clients to opponents when cabinets go empty. In uncooked materials procurement, poor forecasting can result in shopping for on the fallacious value or holding an excessive amount of stock, eroding profitability.
Impactive AI’s upcoming platform, Quantum Deepflow, goals to handle these challenges head-on. Slated for its public demonstration at CES 2026, the system combines superior AI demand forecasting with quantum machine studying. The purpose: predict not simply gross sales patterns, however your complete product lifecycle, whereas additionally optimizing uncooked materials procurement.
Deepflow can forecast uncooked materials costs like copper, aluminum, or metal, as much as six months forward with claimed accuracy charges of 97–98%. For predicting the industrial success of a product, accuracy ranges between 70–80%. The platform additionally helps stock administration, with one industrial consumer reporting a 35% discount in stock and liberating up roughly 31 billion KRW ($22M) in money.
The system makes use of a custom-built AI mannequin educated on greater than 60,000 variables, combining sample recognition with proprietary algorithms. Whereas many corporations nonetheless depend on historic averages, Quantum Deepflow incorporates a broader set of indicators, together with market tendencies, seasonal patterns, and macroeconomic elements.
The corporate says it’s utilizing quantum computing by way of cloud-based quantum assets. In keeping with Impactive AI, this enables for sooner coaching occasions and extra nuanced predictions in advanced, multi-variable eventualities. That is an space nonetheless underneath intense analysis and few corporations are utilizing this instrument in day after day enterprise.
For uncooked materials forecasts, the platform doesn’t require buyer information, making onboarding simpler. Stock optimization, nevertheless, includes making a {custom} mannequin utilizing client-specific historic information.
The enterprise purpose is obvious, and if the information introduced is real looking, then the accuracy enchancment is the primary promoting level. Throughout a stay demonstration for a German firm, Quantum Deepflow reportedly predicted each day copper and aluminum costs throughout a five-day exhibition with round 97% accuracy. One other case with a metal producer noticed the corporate enhance stock forecast accuracy to 75%, far surpassing its in-house strategies. That’s clear added-value.
Most corporations at the moment use a mixture of statistical fashions, enterprise useful resource planning (ERP) instruments, and machine studying methods working on classical processors. Forecast horizons are sometimes brief (weeks or a number of months) and accuracy can degrade rapidly in risky markets. Uncooked materials patrons typically hedge towards uncertainty by conserving massive security shares, which ties up working capital. Quantum Deepflow goals to alleviate these constraints with higher forecast.
Based in 2021, Impactive AI focuses on demand forecasting throughout industries. The corporate’s management contains seasoned consultants with expertise at Samsung Electronics, Merrill Lynch, and educational credentials from establishments like Harvard. Its Deepflow platform has already been deployed in sectors starting from prescription drugs to elements manufacturing, incomes it recognition as one of many “High 20 AI Resolution Firms” by CIO Outlook.
With Quantum Deepflow, Impactive AI hopes to boost the bar for predictive analytics and rework how producers plan, value, and produce.
Filed in AI (Artificial Intelligence), Business, Korea, Machine Learning and Startups.
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