Halia v1.0 Eight modules. One engine. One job: find the money.
Eight modules, one detection engine, grounded in three industry standards — SCOR, IEEE XES 1849, ISO/IEC 25012.
Standards-grounded math. No black-box proprietary scoring.
From empty to insightful in five minutes.
Day 1: connect a platform, see what we’re going to find. Day 30: a populated dashboard with the issues and dollar amounts that matter.
Connect Shopify to begin.
- Pick a platform. OAuth or API key, 60 seconds.
- Configure costs. Pick your region; we pre-fill regional benchmarks.
- Wait 5 minutes. Historical events sync; first findings appear.
Findings ranked by dollar impact.
- 37 detectors running. Findings ranked by dollar impact.
- Drift monitor live. Regressions caught within an hour.
- SCOR metrics computed. Perfect Order Rate, Cost to Serve, Cycle Time on every dashboard load.
How does Instirio visualise your order flow?
Every order’s flow through every state, auto-laid-out. Bottlenecks glow red, returns branch below. Click any node for transitions and timing.
- 16-event canonical taxonomy normalized across Shopify, WooCommerce, ShipStation, Stripe, Amazon, ShipBob.
- MAX(incoming, outgoing) node counts, prevents the inflated counts you see in other tools.
- Repeat-purchase filter, Delivered→Order Created loops excluded so the map reflects the actual order lifecycle.
- Bidirectional merge, 0-delay pairs collapsed into the forward direction for clarity.
Auto-laid-out process map with bottleneck highlighting and exception-flow separation.
Halia37 detectors. Eight categories. One engine.
Halia runs 37 always-on detectors orchestrating statistics, ML, and graph reasoning. Every finding ships with a dollar amount, severity score, and confidence, so you fix what matters.
Fraud & revenue leakage
Card-testing, serial returner, coupon abuse, refund fraud, chargeback rate, duplicate orders.
Returns & product quality
Defective-batch clustering, reason-only patterns, recall surges, SKU velocity spikes.
Fulfillment, carrier & SLA
Stuck orders, SLA breach, vendor SLA, carrier-zone drift, partial shipments, BOPIS, viral spikes.
Margin, pricing & cost creep
COGS drift, order-level margin, AOV drift, processor-fee drift, FX timing loss.
Subscriptions & retention
Subscription churn signals, gift-subscription cancellation early warning.
Inventory & demand
Oversell at checkout (ERP sync lag), extended out-of-stock.
Process & operational efficiency
Cancellation leaks, payment friction, rework loops, slow refunds, statistical outliers, trend drift, new variants.
Team & time analytics
Actor performance, time-of-day patterns, channel imbalance, automation opportunities.
Always-on for every plan: Fraud, Returns & SLA detectors. Business+ unlocks Margin, Subscriptions, Inventory, Process and Team tiers. See plan details →
SCOR metrics. The standard your industry uses.
Fortune 500 supply-chain leaders use the SCOR Digital Standard from ASCM. Instirio brings it to SMB e-commerce, calibrated for your scale.
- Perfect Order Rate (RL.1.1), 4-factor multiplication: on-time × in-full × damage-free × doc-accuracy.
- Cycle Time (RS.1.1), Source (order→payment) + Make (payment→shipped) + Deliver (shipped→delivered).
- Cost to Serve (CO.1.1), 5-category breakdown: Plan + Source + Make + Deliver + Return.
Drift detection, catches regressions other tools miss.
Most analytics tools show what’s happening now. Instirio baselines every metric, then flags the moment things drift, including fixes that quietly come undone.
- Per-team baselines that learn your normal pace. Updated continuously. No manual configuration.
- Regression flagging. Drift events tagged as regressions when they cross the original detector threshold again.
- Transition baselines. Step-by-step delay drift, not just aggregate metrics.
How does Instirio track SLA compliance?
Define rules, track compliance, attach a cost-per-breach. Get notified before Amazon’s 4% SLA threshold suspends your listings.
- Rules CRUD, create/edit/delete with templates and auto-generation from your historical data.
- Compliance bars, daily compliance % with 14-day trend.
- Cost-per-breach. Every breach tagged with dollar impact.
- Cost configuration, region selector for 11 regions with auto-analyze from logs.
How does Instirio find manual work to automate?
Multi-factor classification separates system, carrier, and human actors. Temporal patterns reveal which steps are truly automated vs. masquerading as automated.
- Actor type detection, system, carrier, human, based on event metadata and timing.
- Batch detection, bursts of identical events from one actor flagged as batch.
- Drill-down, per-activity automation assessment, hourly heatmap, sample orders.
- Manual steps banner, surfaces the candidates for automation, ranked by event count.
What does an order cost where you operate?
Six cost elements, shipping, packaging, labor, returns, processing, COGS%, benchmarked across 11 regions. Auto-analyzed from your event logs, with volume-weighted multi-region blending.
- 11 regions, North America, Western Europe, UK, Eastern Europe, South Asia, Southeast Asia, East Asia, Middle East, Latin America, Africa, Australia/NZ.
- 6 cost elements per region with low/mid/high ranges from public benchmarks (APQC, Opensend, GoBolt, Speed Commerce, TrueProfit).
- Auto-analyze, derives realistic costs from your shipping events; you confirm or override.
- Per-connection region tagging so multi-region brands get correct math.
How does Instirio validate its own data?
Instirio validates its own data. P0 checks run after every sync, P1 hourly, if a number’s wrong, you’ll know before your CFO does.
P0. Every sync
8 checks- Events ↔ summaries consistency
- NaN impact detection
- SCOR formula validation
- Lead time accuracy
- Connection completeness
- Detector concurrency limits
- Detection debounce respected
- Event ordering / timestamp sanity
P1, hourly / on-demand
8 checks- Delivered = completed alignment
- Cost configuration completeness
- Lead time precision (P95)
- Drift baseline freshness
- Detection coverage
- Cache hit ratio
- Worker health
- Backup verification
The framework behind every module.
Run all eight modules on your data.
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