SHEET / 01 — SOLUTIONS
Predictive analytics, tailored to retail reality
Choose the outcome you need—fewer stockouts, leaner inventory, smarter replenishment, or clearer customer segments. Eigenrun turns your sales, stock, and customer data into forecasts and decision-ready insights your team can use fast.
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Analytics Consultation
Read more: Analytics ConsultationGet expert guidance on predictive analytics strategy, implementation, and the best use of your data.
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Anomaly Detection
Read more: Anomaly DetectionSpot unusual shifts in sales or demand early, before they create costly inventory and planning issues.
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Segmentation Analysis
Read more: Segmentation AnalysisGroup customers by behavior and value so you can target campaigns, inventory, and offers more effectively.
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Customer Insights
Read more: Customer InsightsUnderstand buying patterns, retention signals, and customer behavior to guide smarter commercial decisions.
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Inventory Optimization
Read more: Inventory OptimizationAlign stock levels with real demand using predictive models that improve availability and reduce waste.
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Demand Forecasting
Read more: Demand ForecastingPredict future demand with sharper forecasts that help reduce stockouts, waste, and costly overbuying.
SOLUTIONS / 02 — CAPABILITIES
From messy data to decisions your team can trust
Eigenrun turns sales, stock, and customer signals into forecasts and recommendations you can act on—reducing stockouts and overbuying while revealing the behaviors that drive repeat purchases.
S-01
Connect your data
We map your sources (POS, ecommerce, ERP, marketing) and define the metrics that matter—clean inputs, consistent definitions, and a reliable refresh schedule.
S-02
Predict demand & risk
Forecast demand at the SKU and location level, surface seasonality and lead-time effects, and flag where you’re most exposed to stockouts or excess inventory.
S-03
Optimize inventory actions
Turn forecasts into replenishment, safety stock, and allocation guidance—so buyers and planners know what to order, where to hold it, and when to move.
S-04
Understand customer patterns
Segment customers, spot churn and repeat signals, and quantify LTV drivers—so you can target the right audiences and align inventory with what actually converts.
FAQ — SOLUTIONS
Predictive analytics FAQs
Clear answers on data, timelines, security, and what you can expect from Eigenrun—covering inventory optimization and customer behavior insights. If you have a specific use case, we’ll tailor the conversation.
Q-01
What data do you need to get accurate forecasts and recommendations?
We typically use sales orders, inventory positions, product and store/SKU attributes, pricing and promo calendars, lead times, and key operational constraints. For customer insights, we add transaction history and customer/event data where available. If your data isn’t perfect, that’s normal—we’ll assess coverage, clean where needed, and quantify confidence so decisions are based on what the data can truly support.
Q-02
How long does it take to see usable outputs?
Most teams see initial baselines and early opportunity areas within 2–4 weeks, depending on data access and complexity. From there, we iterate: validate against holdout periods, align outputs to your planning cadence, and refine for actionability (reorder points, safety stock signals, segmentation, propensity indicators). A production-ready workflow is often achieved in 6–10 weeks.
Q-03
Will this integrate with our ERP, WMS, ecommerce, or BI tools?
Yes. Eigenrun is designed to plug into the systems you already run—common ERPs, WMS platforms, ecommerce stacks, and data warehouses. We can start with flat files if that’s fastest, then move to automated pipelines. Outputs can be delivered as dashboards, scheduled reports, or directly into your planning tools via API, depending on how your team works.
Q-04
How do you handle data privacy and security?
We follow a least-privilege approach and only request the data required for the agreed scope. Access is controlled, data is handled securely, and we can work within your security review process (NDA, vendor onboarding, and agreed retention rules). If you prefer, we can focus on aggregated or pseudonymized customer data for behavioral modeling.
Q-05
What results should we expect for inventory and customer insights?
Outcomes depend on your category dynamics and operating constraints, but the goal is consistent: fewer stockouts, less overstock, and better allocation decisions—backed by measurable lift. On the customer side, expect clearer segments, early signals for churn or repeat purchase, and more informed targeting. We define success metrics up front and track impact against a baseline so you can defend the results internally.
DOC / 04 — NEXT STEPS
Tell us your challenge. We’ll map the fastest path to value.
Share your inventory goals, data sources, and timelines. We’ll reply with a clear recommendation for forecasting, optimization, and customer insights—plus what it takes to integrate and prove ROI.
RESPONSE ≤ 48H
NDA AVAILABLE
REV 01
S-01 — FIRST OUTPUT
In the first milestone, you’ll get a baseline forecast and inventory opportunity scan, with assumptions documented and next actions agreed.