Consumer Products Solutions

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Retail Solutions

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News and Updates

Zebra Technologies’ James Lawton and Sivakumar Lakshmanan Recognized as Supply Chain Pros to Know

Supply Chain Pros has awarded James Lawton VP of Robotics and Sivakumar Lakshmanan co-CEO of the 2022 Pros to Know awards.
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Omnichannel-Aware Allocation: How Pacsun improved profitability with intelligent allocation and replenishment

Co-CEO Mike Relich shares how PACSUN is transforming their business in the face of increased online shopping and fulfillment options while containing the costs associated with them.
Learn More Launches Omnichannel-Aware Solution Suite to Synchronize Forecasting, Allocation & Replenishment

Omnichannel-aware is about positioning inventory intelligently, within your DC and store network, to be closest to the customer to enable fulfilling demand
Learn More 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.
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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 Blog

More blogs

Supply Chain Execs Share Real-World Inventory/Demand Problems

On the heels of our very well-received co-presentation with Phillips CSCO Ivanka Janssen on AI at last month’s Gartner Supply Chain Symposium in Orlando, I had the pleasure of facilitating our June 30 virtual roundtable—'Align Inventory to Consumer Demand’.  

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The secret ingredient to achieve AI results - it’s not the data.

Retail and CPG companies struggle to balance investments that remediate short-term pains and improve long-term resiliency. Disillusionment over prior investment payoffs, plus being in constant crisis mode, has supply chain executives focusing on fundamentalssuch as efficiency improvements and cost containment. 

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Retail’s Next Dilemma: Excess Inventory

Retailers are already facing their next inventory crisis—too much stock on hand, with too few buyers.

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You Know You Need AI Pricing Solutions…Does Your Company Agree?

When retailers come to us to look at our AI-driven lifecycle pricing solutions, the first people we talk with—the “point persons” responsible for overseeing pricing decisions—are usually quick to grasp the real benefits. They’re eternally striving for that ideal markdown “sweet spot” for every SKU—accelerating sell-through while preserving—if not squandering—margin. But without a unified, data-driven markdown strategy, they’re often the first to concede their haphazard, decentralized markdowns are “a mess”.

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