Conative AI vs Prediko
Prediko and Conative AI both replace inventory spreadsheets with AI demand forecasting and automated purchase orders. The core difference is the data source each platform uses.
Prediko is a Shopify-first app that forecasts demand from your store's sales history.
Conative AI is built for scaling brands that have outgrown Shopify-only tooling, sell across multiple channels, and could benefit from unifying inventory data with live marketing signals (ad spend, sales velocity, campaign events from Meta and Google) so forecasts reflect what's driving demand right now, not just what sold last season.
Forecasting that sees your marketing
Most inventory tools, Prediko included, forecast demand from one input: historical sales. But modern Ecommerce isn’t static. Marketing calendars shift from year to year with new product launches, new promotions, and sudden shifts in demand can throw off even the best plans.
Rules-based and sales-history-only models can't see those signals coming, so the forecast lags behind the business.
Conative AI is the only inventory platform built to ingest marketing signals directly into the forecast. Its Data Engine pulls ad spend and performance from Meta and Google Ads alongside sales velocity, seasonality, inventory levels, and PO cadence, cleans and maps it to a single model, and refreshes forecasts in near-real-time. The result: when marketing changes demand, the forecast, and the reorder recommendation, change with it.
Single-Input Limit
Relies primarily on sales history, allowing for manual adjustments to incorporate additional factors.
Single Sales Channel
Integrates with Shopify, limited support for other channels
Reactive, Manual Planning
Sees demand shifts only after they surface in sales history. Planners must manually adjust forecasts to account for promotions, launches, or marketing-driven spikes.
Forecasts integrated with Marketing Signals
Unifies marketing and inventory data via native integrations with Google and Meta ads. Incorporates marketing signals (like sales velocity, seasonality, conversion rate) with inventory levels and PO cadence in one clean model.
Multi-Channel Sales
Integrates with Ecommerce storefronts (Shopify, Big Commerce, Magento) Amazon, and wholesale channels.
Proactive, Automated Planning
Detects promotion-, launch-, and campaign-driven demand before it hits sales history, so reorder recommendations adjust ahead of the spike automatically
AI agents: recommendations vs. execution
Both platforms are moving toward agentic workflows. The difference is depth and specialization. Conative deploys purpose-built agents for distinct jobs
Replenishment Agent
Flags low-stock SKUs within their specific lead time, surfaces overstock risk early, and generates POs aligned to MOQs and payment terms.
Planning Agent
Drills to SKU and variant level, runs scenario plans against revenue targets or margin goals, and flags any forecast that falls outside the target accuracy band.
Connie (master agent)
Answers open-ended questions across inventory and marketing data in plain English, with its reasoning shown.
Because Connie sees marketing and inventory in one model, brands can ask questions other tools can't answer — e.g., "Which products could absorb a price increase without hurting sales?" — and get SKU-level insights with recommended reorder quantities and the reasoning behind it.
Side-by-side comparison
44% revenue jump in Q1 2024 from an AI-informed post-holiday buy; AOV up 12% from real-time campaign-period adjustments.
Inventory planning cut from ~10 hours to ~10 minutes; $20K+ saved on bulk orders via Component planning; overstock effectively eliminated. "I never want to go back to our old process again."
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Frequently asked questions
No. Prediko forecasts demand from your Shopify sales history. Conative AI is the only inventory platform that ingests live marketing signals — ad spend and campaign performance from Meta and Google — directly into the forecast, so demand projections reflect what is happening now.
Prediko is built Shopify-first and connects to Shopify in real time. Its native support for other channels like Amazon and Walmart is limited, and independent reviewers note this as a constraint for brands selling across multiple channels. Conative AI connects across Shopify, Amazon, Wholesale, Magento and Big Commerce, making it a better fit for brands that have outgrown a single-channel setup.
Conative AI is built for exactly this case. It natively connects to NetSuite, ApparelMagic, ShipHero, and other popular 3PLs, reconciles data across those systems in a data lakehouse, and forecasts from the unified result.
Accuracy can depend on the quality of data, and length of time products have been public, but for established sellers, our MAPE is within 15%. Against rules-based tools, Conative has measured 30–50% better accuracy on overstock and 15–20% better on understock.
Yes. The Replenishment Agent generates purchase orders aligned to MOQs and payment terms; the Planning Agent runs SKU-level scenario plans against revenue or margin targets; and the master agent, Connie, answers open-ended questions across both inventory and marketing data in plain English.