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About WAIR & Company Vision

WAIR is an Agentic AI retail technology company built specially for lifestyle retailers (apparel, sports, footwear, eyewear, underwear etc) . We generate highly accurate, SKU-level demand forecasts using deep learning and AI. But we don’t stop at forecasting—we integrate directly into retailers’ core workflows like allocation, planning, and buying. Our goal? Help retailers adapt seamlessly to real demand, with very lean teams and a simplified organization overview

Legacy forecasting tools rely on static rules and basic models—they simply can’t keep up with the complexity of modern retail. WAIR’s ForecastGPT 2.5 leverages deep learning to understand the interplay of time series, locations, product data, images, weather, and promotions. This results in high-precision, real-time forecasts across allocation, replenishment, and redistribution—automatically and intelligently.

Our vision is bold: “Enhance enterprises, people and the planet with the capability of foresight.”

Our mission? Democratize AI-driven forecasting so every retailer can make smarter, faster, and more sustainable decisions. Over the next two years, we aim to automate 95% of retail decision-making while improving quality and outcomes. This means leaner teams, more empowered talent, and a measurable impact on revenue and margins.

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WAIR currently offers two core digital employees:

  • Wallie – your AI Allocator
  • Suzie – your AI Product Describer


Coming soon:

  • Woopie – our new AI Planner for assortment and merchandise planning.


Longer term, WAIR will expand into buying and discounting, automating even more of the retail value chain.

WAIR focuses on lifestyle retail: fashion, footwear, sports, beauty, apparel, eyewear, and more. By pooling data from across the industry, our models capture macro trends and local nuances—boosting accuracy while keeping your insights proprietary.

Solutions & Digital Employees

Wallie is your digital inventory allocator. It automates decisions for:

  • Initial distribution
  • Daily replenishment
  • Replenishment stops
  • Redistribution to warehouse or
  • Redistribution store to store
  • End-of-life stock strategies


Wallie predicts SKU-level demand per store per timeframe

Key Capabilities:

  • Forecasts up to 12 weeks ahead
  • Tailored new item distribution per SKU-store combo
  • Daily stock adjustments in your system
  • Smart allocation of scarce goods to high-demand stores
  • Business impact: higher sell-through, reduced markdowns, lower logistics costs, and leaner operations

This agent ensures new products land in the right stores in the right quantities from day one. It balances sales potential against risk by allowing controlled overstock where needed and penalizing stockouts. It uses latest shopfloor behavior, trends, and visual product data to optimize distribution—automating a traditionally labor-intensive process.

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This agent identifies products that would perform better elsewhere.

  • Back to warehouse: Move stock from underperforming stores to the warehouse when central inventory is low.
  • Store to store: Shift high-potential items between stores to maximize sell-through and reduce unnecessary markdowns.


It forecasts six weeks ahead, making redistribution smart, continuous, and frictionless.

Suzie transforms product images into complete content—instantly.

  • Auto-generates titles, tags, meta descriptions, and product copy
  • Adapts to your brand tone
  • Supports 120+ languages
  • Produces SEO-optimized content
  • Syncs across ERP and channels


Ideal for teams needing scalable, consistent, and fast product copy, Suzie slashes time to market while improving content quality.

Technology & Data

ForecastGPT 2.5 is our unified deep learning engine. Unlike legacy systems, it leverages pooled, cross-client data(while keeping predictions client-specific) to understand complex retail dynamics. It processes:

  • Time series
  • Product/store attributes
  • Images
  • Prices
  • Promotions
  • Weather
  • Many more…


The result? A powerful model that supports multiple forecasting tasks with minimal bias and maximum precision.

WAIR models analyze over 100 data features, including:

  • Demographics and geography
  • Weather and seasonality
  • Product images
  • Discounting and pricing
  • Store-level behavior


The system is continuously learning from anonymized, aggregated data across the WAIR network.

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Pooled data refers to anonymized data from multiple clients combined for model training. This approach captures industry-wide signals and improves accuracy. WAIR ensures:

  • Client outputs remain isolated
  • No shared or exposed business data
  • Full GDPR compliance and data governance

Benefits & ROI

With WAIR, retailers consistently see:

  • Higher revenue and margins
  • Lower inventory costs
  • Fewer markdowns
  • Smaller, more agile teams


Our AI agents automate millions of decisions daily, allowing human teams to focus on strategy, not spreadsheets.

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WAIR guarantees an ROI of at least 5x, with top performers reaching up to 50x.
No-brainer economics for any lifestyle retailer.

Onboarding & Integration

WAIR’s platform is AI Native and system-agnostic. We plug directly into your ERP or data warehouse, ingesting data and pushing decisions back—seamlessly.

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  • Integration: ~6 weeks
  • Onboarding & optimization: ~12 weeks


We tailor the rollout to your needs, with hands-on support at every step.

Contact & Support

  • Visit our [Help Center] for in-depth support.
  • Use the Contact Us page under “Company” for sales or partnership inquiries.
  • Want to see WAIR in action? Book a demo directly.

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  • Integration: ~6 weeks
  • Onboarding & optimization: ~12 weeks

We tailor the rollout to your needs, with hands-on support at every step.

Let me know if you’d like a downloadable PDF, a web-ready version, or different tone variations for specific personas (e.g., CFO vs Planner vs Buyer).

Customer support

Get in contact