Prediko — Supply Chain & Fulfillment AI

Before you start

• Choose one bounded, reversible inventory or purchasing recommendation to test.
• Prepare clean SKU history, lead times, current stock, purchase constraints, and margin assumptions, removing sensitive fields the trial does not need.
• Record the current forecast error, stockout rate, excess stock, cash tied up, and service level, then name the approver and stop conditions.
• Map the data path from source to destination, then review read, write, and administrator scopes separately.

Operator-ready setup plan

1. Start with one real task

   Do not begin with a store-wide rollout. Pick one reversible task where Prediko can help you plan inventory, purchasing, capacity, suppliers, and replenishment.

   Checkpoint: The input boundary, owner, and one primary measure from forecast error, stockout rate, excess stock, cash tied up, and service level are written down.

2. Prepare the input and guardrails

   Collect only the clean SKU history, lead times, current stock, purchase constraints, and margin assumptions needed for this test. Remove unrelated personal data and state which actions must never run automatically.

   Checkpoint: Every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.

3. Configure a contained trial

   Follow the official setup path, connect the fewest accounts possible, and grant only the permissions this test needs. Let Prediko recommend before it acts.

   Checkpoint: You have a inventory or purchasing recommendation that a responsible operator can inspect, and it stayed inside the approved boundary.

4. Review it against a baseline

   Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.

   Checkpoint: forecast error, stockout rate, excess stock, cash tied up, and service level has a pre-test baseline, and errors and exceptions are logged separately.

5. Add monitoring, approval, and recovery

   Alert on failures, timeouts, duplicate runs, and permission changes. Keep human approval, idempotency checks, an action log, and a recovery path you have rehearsed.

   Checkpoint: A failed run can be traced in logs, bad writes can be reversed, and ownership of recovery is explicit.

How to test it

• Test one normal case, one edge case, and one case with a deliberately missing critical field.
• Compare the result with the pre-test baseline for forecast error, stockout rate, excess stock, cash tied up, and service level; do not record time saved alone.
• Review errors, human edits, permissions used, and unresolved exceptions before expanding scope.
• Simulate a timeout, a duplicate event, and a partial destination failure to verify alerts and recovery.

Limits to account for

• We checked the public source and resource identity on 2026-07-19. That review does not cover every workflow result, and vendor performance claims are not treated as EcomAgentTools tests.
• Bad history or an untested assumption can turn a confident forecast into an expensive purchase decision.
• This page reflects the review completed on 2026-07-19, not a permanent guarantee. Recheck the current documentation, pricing, and contract terms before production use.

Frequently asked questions

Key features

• AI demand planning distributing revenue targets across 12 months at SKU level
• Real-time buying table with smart restock alerts and one-click purchase order creation
• Raw materials management with BOM creation and production planning for finished goods
• Unlimited users, SKUs, and purchase orders on all plans with no artificial caps
• 100+ WMS and 3PL integrations including ShipHero, ShipBob, Cin7 Core, and more
• 20+ customizable inventory reports with scheduled email delivery and CSV/PDF export
• AI-driven insight cards surfacing actionable recommendations from inventory data

Best for

Prediko best fits Inventory planner, Purchasing operator, and other teams with a defined demand planning, replenishment decisions, sourcing, and fulfillment operations process that want to operationalize AI demand planning distributing revenue targets across 12 months at SKU level; Real-time buying table with smart restock alerts and one-click purchase order creation; Raw materials management with BOM creation and production planning for finished goods. Its practical value rests on AI algorithm trained on 25M+ SKUs across 15+ industries for accurate demand forecasts; Transparent GMV-based pricing with unlimited users, SKUs, and POs on every plan; Unique raw materials and BOM planning — rare among Shopify-native inventory tools. It is a poor fit for a team expecting instant results without an owner for data, rules, and review. Validate or reject it before contracting if these constraints cross an operating boundary: Shopify-only — doesn't support WooCommerce, BigCommerce, or other ecommerce platforms; Amazon integration not yet live (announced as coming soon).

Pricing analysis

Current published or described options are Under $100K GMV: $49/mo; $100K–$500K GMV: Scaled by GMV; $500K–$2M GMV: Scaled by GMV; $2M+ GMV: Scaled by GMV; Raw Materials Add-on: $20/mo. Under $100K GMV is the fixed-cost baseline. The premium for Raw Materials Add-on needs to be recovered through higher volume, a required advanced capability, or lower unit cost. Judge the result by monthly output rather than the plan name. Complete cost also includes inventory or SKU volume, locations, connectors, data cleanup, onboarding, planner time, and cash tied up by recommendations; model both normal and peak periods. A custom quote should state the billing unit, minimum commitment, overages, add-ons, implementation scope, renewal terms, and data-export path.

Pros

• AI algorithm trained on 25M+ SKUs across 15+ industries for accurate demand forecasts
• Transparent GMV-based pricing with unlimited users, SKUs, and POs on every plan
• Unique raw materials and BOM planning — rare among Shopify-native inventory tools
• Published case studies show 60% fewer stockouts and 13% revenue increase
• Dedicated customer success manager, personalized onboarding, and private Slack on higher tiers

Limitations

• Shopify-only — doesn't support WooCommerce, BigCommerce, or other ecommerce platforms
• Amazon integration not yet live (announced as coming soon)
• Steep learning curve requiring meaningful onboarding time to navigate full capabilities
• Pricing scales with GMV — costs increase significantly as your brand's revenue grows

Selection guidance

Document the current manual process, data sources, owner, and recovery path, then run one supplier or category covering stable, seasonal, new, and exception SKUs with real business data. Cover permission boundaries, null and exception data, duplicate execution, human override, third-party sync delays, export, and rollback. Also run these product checks: Test one normal case, one edge case, and one case with a deliberately missing critical field.; Compare the result with the pre-test baseline for forecast error, stockout rate, excess stock, cash tied up, and service level; do not record time saved alone.. Keep the pilot live for a complete business cycle and compare forecast error, stockout rate, excess inventory, inventory turns, and planner time saved with the pre-pilot baseline. Contract only if quality, controllable risk, and total cost all pass, and explicitly test these known constraints: Shopify-only — doesn't support WooCommerce, BigCommerce, or other ecommerce platforms; Amazon integration not yet live (announced as coming soon).

Published pricing

Under $100K GMV

$49/mo

$100K–$500K GMV

Scaled by GMV

$500K–$2M GMV

Scaled by GMV

$2M+ GMV

Scaled by GMV

Raw Materials Add-on

$20/mo

Alternatives

• inventory planner
• fabrikator
• cogsy
• cin7
• stocky