Store Replenishment

Optimally replenish your stores and distribution centers (DCs) in a demand-driven model, optimizing inventory levels to meet service level targets while minimizing inventory costs

Delight your customers with
better availability

Store replenishment is one of the core operational processes for retailers. The trade-off between availability and excess stock is one of the main daily challenges the planning teams face. Companies need to expect what, when, and how much customers will purchase at each channel and location and replenish accordingly to prevent lost sales, stock-outs, and customer disappointments. Especially for retailers managing large SKUs, determining each sales location’s optimal inventory targets can be challenging and time-consuming. An automated and demand-driven replenishment planning solution that tracks inventory forecasts store demand provides executable SKU level replenishment recommendations subject to operational constraints, improves availability, and minimizes lost sales.

Solvoyo Store Replenishment helps automate dynamic inventory target setting and daily replenishment decisions using demand-driven models and minimizing the possibility of lost sales. Solvoyo Demand Forecasting considers different demand drivers such as weather conditions, special events for a more accurate view of expected demand. Prescriptive analytics working with operational and business constraints such as packing requirements, store capacity, and replenishment frequency give recommendations that can be executed immediately without manual intervention. Through automated diagnostics and KPI tracking, users can quickly focus on items requiring attention, approve actions, and send work orders directly to the WMS systems.

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What can you achieve with Solvoyo
Store Replenishment Solution?

SKU/Store forecasting leveraging machine learning taking into account demand-drivers such as promotions, special dates, and weather changes ensures a more accurate version of the expected demand
DC Replenishment integrated with Store Replenishment ensures DC-purchase orders always taking into account store needs
Integration with ERP system enables automated PO creation with faster execution
Demand-driven inventory optimization of competing  goals – inventory cost and lost sales

Highly and quickly scalable and adaptable for business growth, supporting new categories, new channels, and new store locations
Short implementation cycles of cloud-native single planning platform
Solvoyo Cognitive Learning for new product introduction and store openings
Single data model and analytics engine for end-to-end SC platform all easily accessible through a configurable user interface

Minimize Lost Sales

Improve Inventory Productivity

Read More

Penti – Apparel Retailer

In-season Inventory Management
With smarter replenishment decisions, Penti balanced inventory across the chain enabled 25% revenue growth with only 2% increase in stock

Read →

Detect the recent demand pattern and response to special events and promotions

Safety stock targets based on demand-drivers like promotions, special days and weather into account

Provide optimal replenishment quantities to minimize lost sales and prevent excess stock

Detect the recent demand pattern and response to special events and promotions

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Safety stock targets based on demand-drivers like promotions, special days and weather into account

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Provide optimal replenishment quantities to minimize lost sales and prevent excess stock

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Exception-Based Management for Store Replenishment

SKU/Store Recommendations

Daily SKU specific replenishment recommendations based on demand forecast and operational constraints
Planned promotions, price changes and special days are taken into account to provide a more accurate view of the demand and inventory projections
Specify triggers for automated PO review & approval, exception management and automated decision filters

Stockout Diagnostics

Automated diagnostics, users can quickly focus on items requiring attention such as root cause analysis for stock-outs
All relevant information on one single page; including vendor and DC performance, inventory and approval rates
Historical view of SKU specific KPIs and DC breakdown of zero-stock stores
Root cause analysis for stock-out and excess stock management

Recommendations Summary

Summary dashboard allows users to monitor recommendations based on different locations and product categories
Easily track the status of recommendations and get drilled down information like inventory, buyer group, season, and forecast

Advanced Retail Analytics

Demand-Driven Replenishment

Predictive Analytics with AI/ML for SKU/Store forecasts using seasonality and key product & store attributes

Prescriptive Analytics with automated replenishment recommendations

Process Automation

Solvoyo Cognitive Learning for new product introduction and store openings

Integrated with warehouse management systems for no-touch execution

Automated Diagnostics & Alerts

Automated diagnostics and exception management for SKUs needing attention


Root cause analysis 
for stock-out and excess stock management