Build

Inventory management system

You're making buying decisions on last week's data. That's expensive.

12+

Systems built

30%

Stock cost reduction

12

Weeks to launch

Trusted by teams at

VodafoneNikeGeneral ElectricMicrosoftT-MobileBank of America

The Problem

What problem does this service solve?

Your inventory counts are wrong 15% of the time. Stockouts cost you sales because reorders fire reactively, not predictively. Your team burns hours reconciling inventory across website, warehouse, and retail. Seasonal demand catches you off guard every year.

Every stockout is a lost sale and a customer who buys from your competitor instead. Every overstock is cash tied up on a shelf. The gap between guessing and knowing bleeds you from both sides.

What you get

  • Stockouts drop 50-70% with predictive reordering
  • Inventory accuracy climbs above 98% with real-time tracking
  • Carrying costs drop 20-30% through demand-based stocking

Overview

What is Inventory management system?

When your inventory counts are wrong, everything downstream breaks - you oversell, understock, and buy on data that was stale before you opened the spreadsheet. We fix that with systems that stay accurate in real time.

Spreadsheets and basic inventory tools break at 500 SKUs across 2 warehouses. Stock counts go wrong. Reorders fire too late or too early. You learn about stockouts from customer complaints.

We build inventory systems that give you real-time visibility across every warehouse, channel, and SKU. Automated reorder triggers, demand forecasting, and low-stock alerts catch stockouts before they happen.

You get a system that integrates with your e-commerce platform, POS, and shipping providers so inventory updates flow automatically. No manual reconciliation. No end-of-day batch syncs that are stale by morning.

Experience Signal

Shipped 12+ inventory systems for commerce and hospitality businesses with real-time multi-channel sync. 12 weeks is our default, not our stretch goal.

What we build

Inventory management system services we deliver

Real-time multi-channel sync

Inventory levels that update in real time across website, marketplaces, POS, and warehouse so overselling stops happening.

Automated reorder triggers

Configurable reorder points that account for lead time, sell-through velocity, and in-transit stock - not a static minimum.

AI demand forecasting

Forecasting models trained on your sales history with seasonal adjustment, promo events, and trend detection.

Multi-warehouse management

Per-warehouse tracking, inter-warehouse transfers, and fulfillment routing that minimizes shipping cost and hits delivery commitments.

Barcode and RFID scanning

Scanner and mobile integrations at receiving, picking, and shipping so stock counts stay accurate without a clipboard.

Perishable and batch tracking

Batch numbers, expiration dates, FIFO enforcement, and shelf-life reports for food, beverage, and regulated goods.

E-commerce and POS integrations

Shopify, WooCommerce, Magento, Square, and custom POS integrations with real-time sync in both directions.

Reporting and turnover analytics

Dashboards for inventory turnover, carrying cost, sell-through, and dead stock - the numbers your finance team actually asks for.

Fit

Is this service right for you?

Good fit

  • Commerce brands managing 500+ SKUs across multiple channels
  • Hospitality operators tracking food, beverage, and supplies across locations
  • Wholesale distributors running multi-warehouse fulfillment
  • Businesses with seasonal demand that needs predictive reordering, not gut feel
  • Teams whose current tool shows different stock numbers in three different places

Not the right fit

  • Businesses with under 100 SKUs where a spreadsheet still works
  • Companies without an e-commerce or POS system to integrate with
  • Orgs looking for off-the-shelf inventory software with zero customization

Process

How does Inventory management system delivery work?

1
Phase 1· Week 1-2

Inventory flow audit

We map your complete lifecycle from receiving to shipping. Every touchpoint, integration, and data gap gets documented and forecasting accuracy targets land on paper.

Deliverables

  • Inventory lifecycle map with data flow gaps
  • Integration scope for e-commerce, POS, and shipping
  • Forecasting requirements and accuracy targets
2
Phase 2· Week 2-4

Architecture and data modeling

We design the data model, integration architecture, and forecasting pipeline. Prototype dashboards go to your ops team for feedback before full build starts.

Deliverables

  • Inventory data model with multi-warehouse support
  • Integration architecture for real-time channel sync
  • Forecasting pipeline design with data requirements
3
Phase 3· Week 4-10

Build and integration

We build tracking, alerts, forecasting, and reporting. E-commerce and POS integrations get tested with live data and adjusted against real ops feedback every week.

Deliverables

  • Real-time tracking with automated reorder triggers
  • E-commerce and POS integrations with live data sync
  • Demand forecasting calibrated to your sales history
4
Phase 4· Week 10-12

Data migration and launch

We migrate historical inventory data, train staff, and ship to production. Forecasting models get calibrated against your sales history so accuracy is real on day one.

Deliverables

  • Historical data migration with validation
  • Staff training and operational runbook
  • Calibrated forecasting models in production

Outcomes

  • Stockouts drop 50-70% with predictive reordering
  • Inventory accuracy climbs above 98% with real-time tracking
  • Carrying costs drop 20-30% through demand-based stocking
  • Manual reconciliation between channels disappears
  • Excess inventory drops 25% with AI-powered forecasting

Deliverables

  • Real-time stock tracking across warehouses and channels
  • Automated reorder triggers with configurable thresholds
  • AI demand forecasting with seasonal adjustment
  • Multi-warehouse management with transfer tracking
  • Barcode and RFID scanning integration
  • Reporting dashboards with turnover and carrying cost metrics
  • E-commerce, POS, and shipping provider integrations

Success Metrics

  • Inventory accuracy rate across all channels
  • Stockout frequency before and after predictive reordering
  • Carrying cost as a percentage of inventory value
  • Hours spent on manual reconciliation per week
  • Fill rate on customer orders

Engagement models

12-week delivery for a full inventory system with forecasting, integrations, and multi-warehouse support.

Best forBusinesses replacing spreadsheets or generic tools with a purpose-built system.

AI models we work with

Claude Sonnet 4.6

Anthropic

Demand pattern analysis, anomaly detection, and natural-language queries over your inventory history.

GPT-5

OpenAI

Forecasting model explainability and structured planning insights for ops teams.

Custom time-series models

In-house

Per-SKU demand forecasting with seasonality and promotion-aware baselines.

Use Cases

Common use cases for Inventory management system

Commerce brand scaling across channels

A D2C brand sells on their website, Amazon, and 3 retail partners. Inventory is tracked per channel. Overselling happens 2-3 times a month and cancelled orders pile up.

How we build it

We build centralized inventory with real-time sync across every channel, reorder triggers based on sell-through velocity, and low-stock alerts that account for in-transit inventory.

Outcome

Overselling drops to zero. Stockout frequency drops 65%. The ops team gets 12 hours a week back from manual reconciliation.

Hospitality group managing F&B inventory

A restaurant group with 6 locations runs food and beverage inventory in spreadsheets. Waste sits at 8% because ordering runs on gut feel. Seasonal menu changes create blind spots every time.

How we build it

We build per-location tracking with recipe-based inventory deduction and demand forecasting trained on historical POS data with seasonal adjustment.

Outcome

Food waste drops from 8% to 3%. Ordering accuracy climbs. Seasonal menu transitions stop surprising the kitchen.

Wholesale distributor with multi-warehouse ops

A distributor runs 3 warehouses and fills orders from the nearest location with stock. The current system can't track transfers or optimize fulfillment routing.

How we build it

We build multi-warehouse tracking with transfer management and fulfillment routing that minimizes shipping cost while meeting delivery commitments.

Outcome

Shipping costs drop 15% through smarter routing. Ghost inventory disappears. Order fulfillment speed climbs 25%.

What clients say

Real feedback from real teams

We went from text surveys that nobody finished to AI phone interviews that people actually enjoy. The voice agents handle the whole conversation, and the analytics tell us what we need to know without reading a single transcript.

Cherian Koshy

Behavioral Strategist - USA Today Bestselling Author

I spent years at Amazon fighting static surveys. RaftLabs built a working prototype in four days that already outperformed every survey tool I'd used. Twelve weeks later we had a full SaaS that product teams actually want to use.

Founder

Ex-Amazon PM - Perceptional

Proof

Recent inventory management system work

BuildMulti-location inventory and OCR for 40+ stations
40+

Stations unified

20K+

Transactions

One dashboard replaced five disconnected inventory tools.

Read case study

Industries

Inventory management system for your industry

Frequently asked questions about Inventory management system

We train forecasting models on your historical sales data with seasonal patterns, promotional events, and market trends. The system learns from actual demand and adjusts reorder points automatically. Accuracy climbs as more data flows in.

Related Services

Next Step

When were your inventory numbers last actually right?

Walk us through your inventory headaches. We'll show you where real-time tracking and predictive reordering remove the guesswork - and what it takes to get there.