
Bringing a brand new product to market has at all times been of venture. Even essentially the most skilled producers can misinterpret market demand, overproduce, or miss a vital pricing window. The result’s a excessive failure fee for brand new merchandise, wasted assets, and unsold stock. Conventional forecasting strategies—typically primarily based on a easy three-month rolling common—battle 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 hundreds of thousands in extra inventory, or worse, dropping prospects to rivals when cabinets go empty. In uncooked materials procurement, poor forecasting can result in shopping for on the flawed worth or holding an excessive amount of stock, eroding profitability.
Impactive AI’s upcoming platform, Quantum Deepflow, goals to deal with these challenges head-on. Slated for its public demonstration at CES 2026, the system combines superior AI demand forecasting with quantum machine studying. The aim: 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 business success of a product, accuracy ranges between 70–80%. The platform additionally helps stock administration, with one industrial shopper reporting a 35% discount in stock and releasing 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 firms nonetheless depend on historic averages, Quantum Deepflow incorporates a broader set of alerts, together with market developments, seasonal patterns, and macroeconomic components.
The corporate says it’s utilizing quantum computing by means of cloud-based quantum assets. In keeping with Impactive AI, this enables for quicker coaching instances and extra nuanced predictions in advanced, multi-variable situations. That is an space nonetheless below intense analysis and few firms are utilizing this instrument in daily enterprise.
For uncooked materials forecasts, the platform doesn’t require buyer knowledge, making onboarding simpler. Stock optimization, nevertheless, entails making a {custom} mannequin utilizing client-specific historic knowledge.
The enterprise aim is evident, and if the info offered is sensible, then the accuracy enchancment is the primary promoting level. Throughout a reside demonstration for a German firm, Quantum Deepflow reportedly predicted every 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 firms at this time use a mixture of statistical fashions, enterprise useful resource planning (ERP) instruments, and machine studying programs working on classical processors. Forecast horizons are sometimes brief (weeks or just a few months) and accuracy can degrade shortly in unstable markets. Uncooked materials patrons typically hedge towards uncertainty by preserving 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 components manufacturing, incomes it recognition as one of many “High 20 AI Answer Corporations” by CIO Outlook.
With Quantum Deepflow, Impactive AI hopes to lift the bar for predictive analytics and rework how producers plan, worth, and produce.
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