If you’re guessing next month’s demand, you’re already late. With BYBOWU's AI Predictive Analytics services, you can make decisions based on your data that look ahead. This means you can order the right amount of stock, set prices with confidence, time campaigns perfectly, and protect your margins. Think about forecasts at the SKU level, detailed demand signals, and "what-if" scenarios that you can actually act on right now.
CMOs, CROs, and Ops leaders use our sales forecasting AI to plan inventory, reduce stockouts, and align media spend with expected demand.
Next.js dashboards, React Native apps, Laravel backends, WordPress stores—plus integrations with GA4, Shopify, WooCommerce, and ERPs.
Why Predictive Analytics Matters Right Now
Let’s be honest—gut feel and last year’s spreadsheet don’t hold up against today’s volatile demand. Promotions work differently on different channels, ad costs change every week, and delays in the supply chain can add up to missed quarters. AI predictive analytics finds patterns that no human can scan quickly enough. It looks at product views, add-to-cart rates, seasonality, and ad spend to guess what will sell, where, and when.
- Demand forecasting that drives action: Buy exactly what you’ll sell—reduce stockouts and dead inventory while protecting cash.
- Inventory optimization: Reorder points and safety stock based on real velocity, not averages.
- Campaign planning: Forecast uplift from promotions and dial spend into SKUs with the highest probability of conversion.
- Margin guardrails: Price elasticity modeling that balances volume with profitability.
Forecasting Models That Fit Your Business
Different categories behave differently. A fashion item with short cycles isn't a CPG SKU that can be restocked. We use fit-for-purpose forecasting models and put them through their paces against your history and real-world limits. No black box—just clear, defensible predictions that you can show to finance and operations.
Demand Forecasting (SKU-, Category-, and Store-Level)
We make SKU-level forecasts that add up to categories, regions, and channels. We use a mix of time series methods and machine learning to get very accurate results, depending on the shape of your data: For datasets with a lot of features, use ARIMA/ETS. For datasets with a lot of seasonal data, use gradient boosted trees or XGBoost. For holiday effects, use Prophet. For high-volume streams, use deep learning (LSTM/Temporal Fusion). We'll combine models so you can stay stable when trends change.
Promotion Uplift Modeling
Not all deals are the same. We figure out how much more sales coupons, BOGO, and bundle offers bring in by channel, creative, and timing. This helps you plan your calendar and guess how many promotions will hurt sales of other SKUs.
Price Elasticity Modeling
How much does demand change when prices change? Our price elasticity modeling takes into account competitor benchmarks, inventory availability, and ad pressure to figure out how many units will change for each price point. Use it to set the lowest price and to guess how much money you'll make with new price bundles.
Forecasts for New Products and Cold Starts
No past? We start with attribute similarity, early engagement signals, and category-level priors. That means better buy depths for new drops without spending too much money.
Finding Anomalies and Changes in Demand
We mark sudden rises or falls that happen because of stockouts, tracking problems, or viral events. Alerts make sure you act before customers reach a dead end. This works with real-time sales forecasting to keep your teams on their toes.
The best model is the one that people use. We connect with your tools and send predictions to the places where your team already works, so you don't have to do any heavy lifting. We'll make sure the pipeline matches your pace, whether you need batch overnight forecasts or scoring that happens almost in real time.
Data Sources and Connectors
We take in orders, products, returns, inventory, prices, sales, channel spending, and site analytics. Shopify, WooCommerce, Magento, custom carts, ERPs, GA4/BigQuery, Meta/Google Ads, and CDPs/CRMs are all common sources. We also support Snowflake and Redshift for storing data in one place.
Batch, Streaming, and API Delivery
You can choose between batch predictions that are sent to your data warehouse every night, streaming forecasts that go straight to your app, or an API that your systems can call when they need to check out or allocate something. We write down endpoints, authentication, and SLA expectations to make engineering work more predictable.
Built for Your Stack
BYBOWU is a US-based studio that ships production-ready experiences for Next.js dashboards, React Native apps, Laravel services, and WordPress stores. Do you want a forecasting widget in your current admin? We'll put it in and protect it, so you won't have to worry about maintaining any forked tools.
Numbers don't change outcomes; actions do. Your dashboard makes it clear what you need to do today and what you need to do next week, with clear explanations of the drivers.
Executive and Ops Views
- Forecast vs. plan: A look at units, revenue, and gross margin with confidence intervals.
- SKU heatmap: Bestsellers, long-tail movers, and old stock that needs to be moved are all marked for action.
- Promotion planner: Expected increase by channel and discount depth.
- Inventory health: Safety stock, reorder points, and lead time buffers.
Scenario Planning
Try "What if we raise Meta spending by 15%?" "What if we lowered the price by 5% for a week?" Look at the projected units, revenue, and margin effects before you sign up.
Alerts, Explainability, and Accuracy
We keep track of MAPE, WAPE, and sMAPE so that everyone is on the same page about quality. Feature importance and driver analyses show why the forecast changed. Alerts let your team know about risks of running out of stock, sudden changes in trends, or low-confidence predictions that need a human check.
What You’ll Receive
- Production-ready forecasting service (API or scheduled jobs) with documentation
- Dashboard in Next.js or embedded in your existing tools with role-based access
- SKU-level demand forecasts, promotion uplift modeling, and price elasticity insights
- Inventory optimization guidance: reorder points and safety stock by lead time
- Model governance: accuracy tracking, drift monitoring, and retrain schedule
- Dev-ready tickets and handoff materials for your engineering team
Want to bundle with broader analytics or AI services? Check out our AI and analytics services for delivery from start to finish.
Case Studies
Introduced SKU-level forecasting and promotion uplift modeling. As a result, there were 19% fewer stockouts on top sellers, 12% less old inventory, and an 8% increase in contribution margin in just one quarter.
Implemented hierarchical forecasts across stores and regions. Result: The MAPE for the forecast went from 28% to 11%, which made cash planning easier and vendor terms better.
Built price elasticity modeling and scenario planner. Result: 6% more sales during promotions with 3% better margins, while keeping CAC the same.
Want to see examples that are similar to your category? Check out some of the best parts of our portfolio.
Our Process: From Data to Decisions
- Discovery and goal mapping: Define success—revenue, turns, stockout rate, or margin—and identify the KPIs to track.
- Data audit: Assess sources, granularity, seasonality, lead times, and gaps; propose cleaning and enrichment.
- Pilot modeling: Train baseline time series and ML models; run backtests; compare MAPE/WAPE and stability.
- Integration plan: Choose batch vs. API, permissions, and deployment environment; document endpoints and SLAs.
- Dashboard build: Ship a Next.js or embedded view with forecast drivers, scenarios, and alerts.
- UAT and calibration: Validate on a subset of SKUs or locations; calibrate confidence intervals and guardrails.
- Go live and iterate: Monitor drift, retrain on schedule, and review monthly for continuous improvement.
Timeline and Pricing
Most pilots go live in 3–6 weeks, depending on data access and complexity. Need a quicker way to get through busy times? We'll start with the SKUs that have the biggest impact and then add more coverage in sprints.
- Starter (fast-turn): Core demand forecasting for priority SKUs and a lightweight dashboard.
- Growth: Promotion uplift, price elasticity, and inventory optimization.
- Enterprise: Multi-region hierarchy, real-time scoring, and MLOps governance.
Get a transparent estimate on our pricing page, or ask for a tailored scope.
FAQs
How accurate are AI predictions?
The level of accuracy depends on how good the data is, how volatile it is, and how detailed it is. After calibration, we want the MAPE at the SKU level to be in the low double digits and the MAPE at the category level to be in the single digits. We do backtesting on holdout periods and give you MAPE, WAPE, and sMAPE so you can see how well it works. We also keep track of how accurate our decisions are—stockout reduction, aged inventory cuts, and margin lift—to make sure the model pays for itself.
What data do you need?
Minimum inputs: past orders (with timestamps, SKU, price, and discounts), inventory and lead times, product features, and basic web analytics to show demand signals. Extra useful information includes campaign spending, merchandising events, returns, and pricing that is competitive. Don't have it all? We'll start with what you have, add to it where we can, and make improvements over time.
Can you work with the tools we already have?
Yes. We often connect to custom data stores, as well as Shopify, WooCommerce, Magento, GA4/BigQuery, and Snowflake. Delivery can be warehouse tables, a secure API, or an embedded Next.js dashboard. Whatever keeps adoption high and maintenance low is fine.
Do we need a team of data experts to keep this up?
Not always. We teach the basics of MLOps, like how to set up retraining, get drift alerts, and keep records. We'll hand off if you have an internal team. If not, BYBOWU can keep working with you.
Are you ready to plan your inventory with confidence and spend money on things that people really want? Let's put your information to good use. Get in touch with us to set up a pilot and see results in a few weeks. Email us at [email protected] or use the contact form to get in touch. To see more of what we make, go to our services page. We put a lot of value on insights that change the way people buy, price, and promote things today.