E-commerce Inventory and Fulfillment

+95%

Decision automation

20-50%

Stock-out / OOS reduction

Donโ€™t take our word for it

“Even though our main goal engaging Solvoyo as an e-commerce retailer was managing growth, after we went live our inventory turns improved by 61% while our availability increased by 44% and our sales almost doubled.”

BMBoard MemberE-Commerce Retailer

Results at a glance

20-50%

Stock-out / OOS reduction

60%

 Increase in Inventory Turns

61%

Reduction in Inventory Quantity per SKU

87%

User Acceptance Rate

Solvoyo Platform

Demand & Forecasting dashboard

Built for Every Channel and Every Node

AI-Powered Demand Forecasting

Solvoyo forecasts demand daily across portfolios of millions of SKUs. The AI/ML models add web analytics, click rates, conversion signals, social media spending, influencer events, competitor pricing, promotions and special events to historical sales data, so the plan detects and responds to demand shifts before they hit availability. For each SKU, the forecasting engine runs a tournament across 20+ methods and keeps the best fit. It handles erratic products, seasonal spikes and new item introductions. That suits DTC and e-commerce brands, where a single influencer campaign or paid social spike can reshape demand overnight.

Multi-Echelon Inventory Optimization & Network Rebalancing

Solvoyo sets inventory targets across fulfillment centers and the full supply network using MEIO, and keeps optimizing them continuously. MEIO balances service level, cash flow and inventory cost across all nodes at once. When demand spikes unexpectedly in a region, Solvoyo’s omnichannel inventory and replenishment planning triggers automated network rebalancing recommendations that redirect inventory to where demand is materializing. That maximizes inventory productivity and protects availability without waiting for the next planning cycle. For how an order picks its node, read distributed order management for omnichannel fulfillment.

Automated Replenishment & Purchase Order Creation

Solvoyo generates replenishment recommendations and purchase orders automatically. Demand-driven AI models factor in lead times, safety stock targets, supplier constraints, shelf-life and operational constraints. Direct ERP integration eliminates manual PO entry and reduces human error.

Slow-Mover Detection & Dynamic Pricing

Solvoyo identifies slow-moving and excess inventory automatically. Diagnostic alerts from Solvoyo’s supply chain analytics and visibility capability trigger price action recommendations that set markdown timing and depth using remaining shelf-life, competitor pricing actions and budget targets. The goal is to recover margin and free up working capital before carrying costs or spoilage compound. Markdown recommendations minimize write-offs by finding the optimal discount window per SKU before shelf-life thresholds are breached, and competitor pricing signals calibrate them to the market.

Promotional Planning & Predictive Analytics

Solvoyo plans and evaluates promotions with predictive models that forecast lift, cannibalization and inventory impact at the SKU level. E-commerce and DTC planners use them to size buys correctly, avoid stockouts during peak promotional windows and measure true incrementality after the event. The predictive analytics cover the large volume of promotions in high-velocity digital commerce, where manual promotion management quickly becomes unscalable.

Portfolio Management & Assortment Rationalization

AI-driven portfolio analysis classifies items by velocity, margin contribution and substitutability. E-commerce, DTC and quick-commerce operators use it to decide which SKUs to keep, phase out or substitute without manually reviewing thousands of items. It also shows which items to keep in stock or delist, so the active assortment stays lean, available and aligned to demand, which matters because SKU proliferation directly inflates working capital requirements.

Run at Machine Speed

One Plan, Every Channel

Built for Demand by the Hour

Scale Without Adding Headcount

See E-commerce Planning in a Demo

Request a demo to see how Solvoyo plans inventory and fulfillment across your storefronts, marketplaces and fulfillment centers on one model.

Solvoyo mascot

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Frequently asked questions illustration

Frequently Asked Questions

What are the biggest supply chain planning challenges for e-commerce and DTC retailers?

The hard parts are massive SKU portfolios, demand that shifts by the hour with social media, influencer events and promotional surges, and fulfillment promises measured in hours. Wrong inventory positioning across fulfillment centers creates stockouts in one channel and excess in another at the same time. That erodes customer experience and margin in a market where switching costs for shoppers are effectively zero.

Can it handle millions of SKUs?

Yes. Solvoyo’s cloud-native platform is built to plan demand and inventory at scale across millions of SKUs. It generates forecasts daily, and for each SKU the forecasting engine runs a tournament across 20+ methods and keeps the best fit.

How does Solvoyo improve demand forecasting accuracy for e-commerce retailers?

Solvoyo’s AI/ML engine adds web analytics, click rates, conversion signals, social media spending, influencer events, competitor pricing and promotional calendars to historical sales data. It forecasts demand across millions of SKUs with these signals, so it can detect and respond to demand shifts before they hit availability.

Does it connect to Shopify, Amazon, and our ERP?

Yes. Solvoyo integrates with your storefronts, marketplaces and ERP without a rip-and-replace. Direct ERP integration eliminates manual PO entry for the replenishment orders Solvoyo generates and reduces human error.

How does Solvoyo optimize inventory across multiple fulfillment centers for e-commerce?

Solvoyo sets inventory targets for every fulfillment center and warehouse node at the same time, using multi-echelon inventory optimization. When regional or promotional demand spikes shift the inventory requirement faster than a planning cycle can respond, network rebalancing recommendations automatically redirect stock to where channel demand is materializing. Availability rises, and nodes where demand has softened do not tie up working capital in excess stock.

How does Solvoyo support quick-commerce and dark store replenishment planning?

Solvoyo automates dark store replenishment with AI-driven demand models that use real-time sales and inventory status. Segmenting products by dark store lets you manage service levels locally, and cross-dock allocation minimizes stockout risk at the moment of receipt. For grocery retailers, see Solvoyo’s grocery planning.

How does Solvoyo help DTC brands manage multi-channel inventory planning?

Solvoyo plans multi-channel inventory in a single model that unifies demand signals across owned e-commerce storefronts, DTC channels and third-party platforms. Each channel gets its own forecasting, inventory targets and replenishment policies, based on how that channel’s customers buy.

How does Solvoyo help e-commerce retailers manage slow-moving inventory and pricing?

Solvoyo detects slow-moving and excess inventory automatically and recommends price actions. The AI-driven recommendations identify the optimal markdown timing and depth to recover margin before carrying costs compound. They take remaining demand potential, competitor pricing moves and budget targets into account.

We’re still planning in Excel. Are we ready for autonomous planning?

Yes. Solvoyo works with businesses at any level of digital maturity, including teams that plan entirely in spreadsheets. In the Digitize step of our process, we run automated data diagnostics on your existing data, wherever it lives, to find gaps, inconsistencies and quality issues. Our AI then helps fill in missing data points and improve your input data, so you don’t need years of system cleanup before you start. That shortens the path from where you are today to fully autonomous, no-touch planning.