Consumer Products Solutions

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  • philips
  • estee-lauder
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Retail Solutions

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News and Updates

More News and Updates Launches AI Demand Modeling Studio for Consumer Products and Retail Companies launches transformative AI solution that allows retail and CPG brands to nimbly adopt AI forecasting solutions without the overwhelming install.
Learn More named in 2021 Gartner Market Guide for Retail Forecasting and Replenishment Solutions named in 2021 Gartner Market Guide for Retail Forecasting and Replenishment Solutions
Learn More In Now Tech: Integrated Business Planning Analyst Report noted for its AI demand forecasting solutions for retailers and consumer products companies
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Where Does Tech Fit into Sustainability? | OverTime Ep. 9

Sustainability is a diverse challenge, but is tech helping unravel that challenge? Bettina Hobson shares how unification and partnerships drive tech advancements.
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Real Results

Our clients use artificial intelligence, in production and at scale, to drive business decisions that result in substantial, financial impact. Read more about our client successes.

Supply Chain

6% + Increased gross margin

For fashion retailer with Data-Driven Forecasting

$60 M Increased gross margin

For CPG Beverage Company from Demand Planning


2% + Incremental annual sales

For Beverage Company with Trade Promotion Optimization

10% + Increased sell-through

For Footwear Retailer from Markdown Optimization


4X Increased response rate

For Grocery Retailer from 1:1 Personalized Offers

$80 M Incremental annual sales

For Casual Dining Restaurant from Personalized Marketing’s AI Platform

  • Built natively in the cloud with scalable distributed processing on Kubernetes Orchestration
  • AI models capable of digesting internal and external data
  • Delivers operational AI models through API integration, feeding either’s application suite or existing ERP solutions

Real AI

At, we differentiate ourselves from our competition with solutions that leverage AI/ML in unique ways to solve real business problems.

Rather than force fitting data through pre-defined data models, our SaaS IP blends industry-proven, artificial intelligence and machine learning models to deliver maximum predictability from the available data, at any level of time, product and market hierarchy. Developed in a native cloud architecture, our solutions deliver accuracy, at scale, pushing the boundaries of AI/ML to produce results that are truly innovative and transformative.

Our Difference combines cutting-edge AI SaaS solutions with deep industry expertise to enable our clients to make faster, smarter and more profitable decisions.

  • Leadership from SAP, SAS, IBM and Accenture
  • AI SaaS Solutions developed by 25+ patented PhD data scientists, Supply Chain & Merchandising award-winning product managers and innovative technologists
  • Industry experts from Amazon, Walmart, P&G, Mondelez, Home Depot, and Gap
  • Backed by Goldman Sachs and Zodius Capital
Antuit Leadership Blog

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AI Demand Modeling Studio – Simplified access to the world’s best forecasting recently released its AI Demand Modeling Studio for consumer product and retail companies, opening up their best-in-class AI to consumer product and retail companies. This article answers the FAQ about AI Demand Modeling Studio.

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Driving Size Optimization Precision

During the last 12 months, fashion retailers heavily invested in tightening assortments and improving their inventory efficiency. While these investments are needed, all the benefits come undone if a customer cannot find their size. Worse, tightening assortments exacerbates the size stock-out problem, damages customer satisfaction, and creates significant financial pain unless size allocation is accurate. A 20% size misallocation drops margin dollars by 50% if markdown pricing is uniform across all sizes. 

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There will Never be a Better Time for Systemic Promotional Changes

Any post-crisis (or even mid-crisis) is the best time for new opportunities, offering a clean slate for growth and rebirth. For years, promotional ineptitude has been well documented – with Nielsen publishing that 2/3 of promotions fail. Confirmed by study after study that would show anywhere between 80-90% of them don’t unleash additional revenue or margin. Even with that knowledge, the allure of trade dollars, and the risk of dramatic change, compelled most to stay the course and continue to invest in bad promotions. That’s now changed.

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Finding Profit in Omnichannel

Not an Ideal Predicament

Depleted revenue, compressed margins, a shortage of labor, plus an infrastructure not designed for an online volume consisting of 40-60% of total sales. Not ideal for fashion retailers. And beyond that, retailers experience up to 8 percentage points of margin loss on a digital order.1

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