Store to Store Transfer Optimization

Solvoyo’s integrated and collaborative S2S Transfer solution powered by machine learning will bring automation and advanced analytics to inventory balancing across the omnichannel network

Re-balance inventory across sales channels and locations

Store-to-store transfers are used for re-balancing inventory across sales channels and locations to maximize sales of fashion and short lifecycle products. Solvoyo Retail Store to Store (S2S) Transfer solution automates inventory balancing decisions to maximize profitability, considering operational constraints, shipping, and handling costs. Predictive AI/ML-powered algorithm makes recommendations by comparing the sales potentials across channels/stores and analyzes various transfer scenarios based on sales conversion targets. Real-time flexible ERP data integration provides actionable outputs for store managers. Solvoyo’s close-loop solution also tracks the acceptance rates, store execution rates, and sales conversions of the transfers to provide full visibility to the transfer recommendations’ outcomes.

binocle2
cube2
globe
5/5

What can you achieve with Solvoyo
Store to Store Optimization Solution?

On-demand Store to Store Transfer model working at SKU level to improve stock balance across the network
Advanced forecasting and optimization capabilities improving full-price sell-through

Improved allocation of team productivity and faster decision making
Digital transformation of manual analysis and workflow management
Status tracking and visibility creating corporate memory

Demand-driven inventory optimization maximizing sales conversion
Optimally allocates stock to locations most likely to sell it
Operational constraints are taken into account for seamless execution

Improve Sell-Through

Improve Profitability

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 →

Automatically identify slow-moving items and evaluate sales potentials across channel/stores

Track the recommendations’ acceptance rates, store order execution rates, and sales conversion and adapt the model accordingly

Maximize profitability subject to operational constraints, shipping & handling costs

Automatically identify slow-moving items and evaluate sales potentials across channel/stores

1 of 3

Track the recommendations’ acceptance rates, store order execution rates, and sales conversion and adapt the model accordingly

2 of 3

Maximize profitability subject to operational constraints, shipping & handling costs

3 of 3

User-Friendly UI to Manage Your Transfers and Track Results

Recommendation and approvals

Summary view and visualization for recommendation and approval visibility for quick reference

Advanced analytics

Advanced analytics used in recommending store transfers at SKU, Option, Style, or Category Level

Actionable recommendations by store managers and ERP data integration

KPI monitoring

Tracking and reporting the transfer KPIs:
‍Realized transfer rate
Sales conversion
Category comparison

Advanced Retail Analytics

AI/ML Predictive Models

Predictive Analytics with AI/ML for assessing sales potential ateach store

Business rules and cost modeling incorporating real-world parameters

Process Automation & Alerts

Seamless integration with existing ERP/WMS for fully-automated execution

Automated Diagnostics identifying non-performing transfers

Configurable & User Friendly UI

Configurable and Executive Dashboard reports with graphics, pivot tables
and drill downs

Performance tracking and financial visibility to assess the outcomes of transfer decisions