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IIS · Part of the Evika One ecosystem

Evika Inventory Intelligence

Know what to stock, how much to order and when to order it.

Demand-aware inventory planning and replenishment recommendations.

Overview

Evika Inventory Intelligence sits above operational inventory data as a decision-support layer — analysing demand patterns and lead times to recommend what to stock, how much to order and when, instead of just recording stock movement after the fact.

Key capabilities

  • Demand analysis and demand patterns
  • Consumption-rate (DRR) analysis
  • Minimum stock level recommendations
  • Lead-time-aware planning
  • Safety stock calculation
  • Replenishment and suggested order quantity
  • Shortage prediction
  • Explainable recommendations

Functional areas

  • Demand forecasting
  • Seasonal demand analysis
  • Inventory coverage
  • Order timing
  • Simulation / forward inventory planning
  • Purchasing decision support

Business benefits

  • Fewer stockouts and less overstock
  • Purchasing decisions backed by data, not guesswork
  • Clearer visibility into what's actually driving demand
  • Recommendations you can explain, not a black box

Demand Intelligence

  • Analyses actual movement history rather than relying only on the current stock balance
  • Blends recent and longer-term consumption windows so a short-term spike or lull doesn't distort the picture
  • Recognises slow-moving and intermittent items instead of treating every SKU the same way
  • Keeps the demand rate behind every recommendation visible, not buried in a black box

DRR & Demand Pattern Analysis

  • Establishes a base daily run rate from usable demand history across multiple time windows
  • Compares recent and historical consumption to catch a genuine shift in demand early
  • Classifies demand behaviour — regular, intermittent or seasonal — rather than one formula for everything
  • Exposes the demand values actually used, so planners can verify the number behind the recommendation

Seasonality

  • Detects and models seasonal demand where enough history exists for the item
  • Applies a seasonal uplift only when the item is currently in season or the planning horizon overlaps the upcoming one
  • Avoids overstating stock outside the item's relevant seasonal window
  • Shows when and why seasonality changed the effective demand rate used

Lead-Time-Aware Planning

  • Calculates future stock requirements using the time actually required to replenish the item
  • Resolves lead time through a fallback chain — item/SKU override, then manufacturer, then a tenant or system default
  • Prevents healthy stock today from hiding a shortage that will hit before the next replenishment arrives
  • Shows the lead time used in each recommendation and which level of the fallback chain it came from

Minimum Stock Level & Safety Stock

  • Derives suggested MSL from effective demand, lead-time demand and a safety-stock allowance
  • Keeps the current MSL out of its own calculation, so the recommendation doesn't reinforce a stale number
  • Adds safety stock as protection against variability beyond expected lead-time demand, calculated separately from the base demand rate
  • Recalculates as demand conditions change, and shows the arithmetic behind the suggested value

Replenishment & Stock Projection

  • Recommends how much to order after weighing current stock, expected receipts and forward demand together
  • Projects the stock position expected at the point the next replenishment would arrive, not just today's snapshot
  • Accounts for stock already on order so it doesn't recommend duplicate supply
  • Flags when an incoming quantity won't actually be enough to cover the next replenishment horizon

Shortage & Overstock Risk

  • Flags items at risk of running out before the next viable receipt
  • Highlights insufficient planned replenishment even when an open order already exists
  • Surfaces excessive coverage and potential overstock, not just shortage risk
  • Prioritises recommendations by business impact so planners work the list that matters first

Explainable Recommendations

  • Shows the demand windows used, and the base and effective DRR calculated from them
  • Shows the demand pattern and any seasonal adjustment applied
  • Shows the lead time used and which fallback level it came from
  • Shows lead-time demand, safety stock and the resulting suggested MSL
  • Shows expected receipts and the suggested order quantity — and explains why the recommendation was produced

The planning questions IIS answers

  • What should we stock?
  • How much stock should we carry?
  • When will the current stock run short?
  • What is already on the way?
  • Is the incoming quantity actually enough?
  • What should we order next, and when?
  • Why is IIS recommending that action?

From movement history to a replenishment decision

Movement historyDemand patternBase DRRSeasonal / effective DRRLead-time demandSafety stockSuggested MSLStock projection at replenishmentSuggested order quantity & timingReview / action

Integration with Evika One

Evika Inventory Intelligence works with inventory and movement data from Evika ERP, and feeds Ask Evika the signals behind its stock-risk predictions.