AI Demand Forecasting
& Inventory Optimization
Control your supply chain: AI-powered demand forecasting and inventory replenishment recalculate safety stock daily to prevent shortages while minimizing inventory,accounting for global and local constraints.
What is buffers.ai?
buffers.ai is a real-time AI platform that automates demand forecasting and inventory replenishment for retail and manufacturing enterprises, built from two equally central modules: Demand & Supply for AI demand forecasting, and Replenishment for AI inventory replenishment. It is used by global retail and manufacturing enterprises including H&M, Bath & Body Works, Victoria's Secret, P&G, and Toshiba.
Why it matters
Inaccurate demand forecasts and slow replenishment cause two costly outcomes at once: stockouts that lose sales, and excess inventory that ties up working capital. buffers.ai addresses both by improving forecast accuracy per SKU and automating the resulting purchase and replenishment decisions, so safety stock reflects real, current demand rather than a static rule.
How it works
Demand & Supply backtests five forecasting algorithms (TimesFM, LightGBM, Prophet, Exponential Smoothing, and Moving Average) over a rolling six-month window, selects the closest-fitting champion model per SKU, and converts that forecast into a supply plan accounting for lead time, safety stock, minimum order quantities, budget, and open commitments. Replenishment then manages day-to-day store and channel inventory: restocking, assortment, new product introduction, promotional push, omnichannel balancing, and KPI reporting.
Learn how buffers.ai chooses the best forecast for every SKU →
Our Solutions
Two equally central modules: AI Inventory Replenishment (Replenishment) for day-to-day inventory operations, and AI Demand Forecasting (Demand & Supply) for backtest-driven forecasting and purchase planning
AI Inventory Replenishment (Replenishment)
Six features that manage day-to-day store and channel inventory: restocking, assortment, new product launches, promotional push, omnichannel balancing, and KPI reporting.
Replenishment
Restock the right products at the right time
Send the right amount to each store taking into account local and global constraints. Our solution optimizes inventory levels, reduces stockouts, and enhances customer satisfaction by ensuring products are available when and where they are needed.
- Function
- Store-level restocking under local and global constraints
- Optimizes for
- Stockout reduction, inventory availability
Assortment
Adjust your assortment dynamically
Dynamically adjust your product assortment based on real-time sales data and market trends. Our solution helps you identify high-performing products (best sellers), and tailor your offerings to meet customer preferences, ultimately driving sales and profitability. Use this module to find the right product when new store opens.
- Function
- Real-time, data-driven product-mix adjustment per store
- Optimizes for
- Best-seller identification, new-store product fit
New Product Introduction
Find the right amount to launch new products
Optimize the launch of new products by determining the ideal inventory levels and distribution strategies. Our solution analyzes sales forecasts to ensure a successful product introduction, minimizing risks and placing the right amount in the right place. This module can be implemented rule based or AI based.
- Function
- Launch inventory sizing and distribution, rule-based or AI-based
- Optimizes for
- Forecast-driven launch risk reduction
Push
Allowing merch team to increase inventory when needed
When a promotion or event requires additional inventory, our Push solution empowers your merchandising team to proactively increase stock levels one time. This ensures that you can meet heightened demand without overstocking, maintaining optimal inventory balance during peak periods.
- Function
- One-time manual stock increase for promotions or events
- Optimizes for
- Peak-demand coverage without overstocking
Omnichannel
Blance inventory across online sales and physical stores
Allocate the right inventory between online and physical stores to meet your company policy. Our OMNI channel solution optimizes stock distribution, ensuring that both sales channels are adequately supplied, enhancing customer satisfaction and maximizing sales opportunities.
- Function
- Inventory allocation between online and physical stores
- Optimizes for
- Cross-channel availability, policy compliance
Advanced Dashboard
Global KPIs dashboard for fast decision making
Responsive dashboard that present managers with all KPI levels. Give the ability to make fast decisions based on real time data from manufacturing, engineering, procurement and supply chain ongoing activities.
- Function
- Real-time KPI reporting across manufacturing, engineering, procurement, and supply chain
- Optimizes for
- Decision speed
AI Demand Forecasting (Demand & Supply)
The forecasting and purchase-planning engine: backtests five algorithms to find a champion model per SKU, then turns that forecast into a supply plan.
Backtest & Champion Selection
Race 5 forecasting engines, crown the best fit per SKU
Every SKU's sales history runs through five forecasting engines — TimesFM (Google), LightGBM (Microsoft), Prophet (Meta), Exponential Smoothing, and Moving Average — backtested over a rolling six-month window on data none of them has seen. Each model is scored on WAPE, bias, safety stock, and service level, and the closest fit is crowned the champion for that SKU.
- Function
- 5-engine backtest: TimesFM, LightGBM, Prophet, Exponential Smoothing, Moving Average
- Optimizes for
- Forecast accuracy per SKU, scored on WAPE, bias, safety stock, service level
Blended Demand Build
Build the demand signal from the champion model
Once a champion algorithm is selected per SKU, buffers.ai builds a blended demand forecast from its output — the single demand number that feeds every downstream buffer, replenishment, and supply calculation.
- Function
- Demand signal construction from each SKU's champion forecasting model
- Optimizes for
- Forecast accuracy feeding the supply calculation
Supply Calculation
Turn the demand forecast into a purchase order
Converts the blended demand forecast into a purchase recommendation, accounting for lead time, safety stock, minimum order quantities, budget limits, and open commitments.
- Function
- Lead time, safety stock, minimum order quantity, budget, and commitments applied to the blended forecast
- Optimizes for
- Right-sized purchase orders within budget and commitment constraints
Trusted by Industry Leaders
How buffers.ai provides automated supply chain replenishment and assortment tools for global retail and manufacturing enterprises including H&M, P&G, Toshiba, Bath & Body Works, Victoria's Secret, and Strauss.
Results, Backed by Case Studies
Metrics reported by buffers.ai customers, sourced from published case studies
The Body Shop
Global Brands Ltd. — deployed across European stores and online channels
- Replenishment process automated
- ~70%
- Initial deployment time
- 2 mo
- Markets live (Israel, Germany)
- 2
- Target automation
- ~90%
“Among the systems currently in use, buffers.ai has proven to be the strongest performer in supporting our operational needs.”Read the The Body Shop case study
RAI
Grocery retailer managing 6,000–7,000 SKUs
- Replenishment process optimized
- 95%
- Saved per store manager, daily
- 2–3 hrs
- Stockout rate reduction (8–10% → ~4.5%)
- ~5%
- Expected full ROI
- 1–2 mo
Frequently Asked Questions
Get In Touch
Ready to optimize your operations? Contact us today
Send us a message
sales@buffers.ai
Phone or Whatsapp
+1 (346) 446 8864