Whiz is an AI-native decision intelligence platform for retail enterprises, powered by retail-specific machine learning and optimization. Connect your data, forecast demand, optimize promotions, and uncover deeper insights. Work with AI agents to ask questions, compare scenarios, and turn complex analysis into decisions aligned with your business goals.
Prefer async? Request the 6-minute executive walkthrough by email.
Our comprehensive suite of AI-powered SaaS apps helps you extract valuable insights, optimize inventory, and enhance customer experiences.
Forecast demand. Explore scenarios. Review together.
Turn connected retail data into deeper insights.
Bring your data, retail-specific machine learning, optimization, and AI agents into one environment. Forecast demand, compare options, and move decisions through review and approval—with your team in control.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment, and dynamic pricing into a single continuous feedback loop.
We handle the heavy lifting—model training, tuning, and deployment—so you can go from data upload to decisions in record time.
A 12-week forecast combining +18.4% festive uplift, localized weather modeling, and promotional elasticity.
The shaded band represents model confidence intervals. Narrow band = verified precision.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment, and dynamic pricing into a single continuous feedback loop.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering.
Turn demand signals into an optimized assortment plan by SKU, store, and season—balancing expected velocity, margin, availability, and inventory constraints.
We translate forecasted demand into an actionable assortment plan, identifying what each store should carry before inventory is committed.
A store-level assortment plan prioritizing high-velocity SKUs, protecting 96.2% availability while reducing projected excess inventory by 14.7%.
Each recommendation is traceable to forecast demand, inventory constraints, historical performance, and commercial targets.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment, and dynamic pricing into a single continuous feedback loop.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering.
Discover meaningful store segments from demand patterns, customer behavior, geography, and product affinity—so every location gets a plan built for its reality.
We identify behavioral store clusters automatically, replacing one-size-fits-all planning with localized inventory and assortment decisions.
A five-cluster segmentation based on +23% variance in SKU velocity, regional demand patterns, and store-level purchasing behavior.
Clusters are dynamically generated from observed data signals—not fixed geographic or manually assigned store groups.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment, and dynamic pricing into a single continuous feedback loop.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering, demand prediction, store clustering, replenishment.
A retail season is six connected decisions in a row, and each one inherits the last. Whiz connects real-time data engineering.
Our SaaS suite offers a unified platform for retail decision-making, providing real-time insights, automated workflows, and predictive capabilities to address key challenges in inventory management, pricing, and customer engagement.
We handle the heavy lifting—model training, tuning, and deployment—so you can go from data upload to decisions in record time.
Plug in ERP, POS, Cloud Drive, S3, Excel, and more with a few clicks—your data pipelines stay live and error-free.
InsightGraph fuses your product catalog, transaction history and customer interactions into a dynamic graph that uncovers hidden affinities and emerging connections.
Whiz brings demand forecasting, promotional intelligence, and connected retail insights into one AI-native platform. Teams can forecast baseline demand and promotional uplift, optimize discounts against business objectives, compare scenarios, and review decisions together.
Your team selects models and configures analysis through the interface. Whiz handles the underlying model training and execution, bringing retail-specific machine learning and optimization into your planning workflow.
AI Chat helps you explore data and understand results through conversation, charts, and tables. AI Agents can launch forecast runs, review analysis, and run promotional optimization within Whiz.
Yes. Each business unit can set its own objectives, including revenue, margin, markdown optimization, or sell-through. Teams can compare promotional scenarios against those objectives and their business constraints.
The data required depends on your use case. Demand forecasting starts with historical sales and product information. Promotional analysis also uses pricing, promotion history, and relevant cost or inventory data to evaluate business outcomes.
Start with a 14-day trial to explore the platform. For a quick introduction, request the 6-minute executive walkthrough by email.
A single unified system that compounds the intelligence and execution of the entire workforce, processes, and products. We’re early.
We handle the heavy lifting—model training, tuning, and deployment—so you can go from data upload to decisions in record time.
Explore practical insights on AI-powered retail decision-making, forecasting, promotions, and customer intelligence.
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