Spherecast
Agentic supply chain planning for omnichannel CPG brands — forecasts become approved purchase, transfer, and production actions.
If you run supply chain for a mid-market CPG brand with multiple warehouses and co-manufacturers, Spherecast is the most execution-oriented option in this category: it recommends specific POs, TOs, and production orders, explains each one, and writes the approved action back to your ERP. The supplier-email parsing and exception agents attack the manual work spreadsheets and MRP add-ons leave behind, and a sandbox run gets your real data mapped in days before you commit. Against legacy S&OP suites like o9 or Kinaxis it trades breadth for speed and CPG focus; against a planning module bolted onto your ERP it adds a genuine agentic layer. The trade-offs are real: you need an ERP or warehouse
Verified 5d ago · liveness 50/100 · cite: rightaichoice.com/tools/spherecast
- Omnichannel CPG brands with multiple warehouses and co-manufacturers
- Supply chain managers replacing spreadsheet planning
- Operations leaders who need faster exception reaction
- Brands with roughly 50-500 SKUs across multiple locations
- Very small brands with a simple single-channel supply chain
- Companies with no ERP or structured data to connect
- Teams that want a visualization layer without execution
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Skip Spherecast if you have no ERP or data warehouse to connect, or if you only want dashboards and reporting rather than an agent that recommends and writes orders back into your system.
Implementation is quoted at two to three weeks after the sandbox, and any customizations beyond the standard connectors are scoped separately with the Spherecast team.
Spherecast sells a SaaS fee with a 30-day money-back guarantee after onboarding. That places it against other multi-echelon planning systems rather than cheap point tools: legacy S&OP suites such as o9 and Kinaxis sit well above a mid-market CPG budget in both licence and deployment cost, while spreadsheet planning or an ERP demand-planning add-on looks cheaper up front but carries headcount and stockout costs Spherecast is priced to displace. Mid-market CPG brands with multiple warehouses and
In short
Spherecast — Agentic supply chain planning for omnichannel CPG brands — forecasts become approved purchase, transfer, and production actions. Best for Omnichannel CPG brands with multiple warehouses and co-manufacturers, Supply chain managers replacing spreadsheet planning, Operations leaders who need faster exception reaction. Contact Sales pricing.
What's new in Spherecast
Checked 6 days agoAcross the latest 1 update: 1 news mention.
Viability Score
How well maintained and how widely used is Spherecast? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI-powered baseline demand forecasting
- Consensus S&OP with human overrides in one shared view
- Auto-generated purchase orders and transfer orders
- Multi-echelon inventory optimization across warehouses
- Agentic supplier and co-man email parsing
- Automatic supply exception flagging and handling recommendations
- Constraint-based optimization
- What-if scenario analysis in plain English
- Simulation of co-manufacturer, supplier, and raw material dependencies
- Auto re-optimization when a warehouse or co-man node is added
- Real-time supply chain visibility by SKU, location, and raw material
- ERP and data warehouse connectors
- Sandbox environment using your real data
- One-click approval with explanation on every AI recommendation
About Spherecast
Spherecast is an agentic supply chain planning and automation platform built for omnichannel CPG brands. Rather than adding another dashboard, it turns planning into execution: it ingests sales, inventory, purchase orders, transfer orders, and supplier updates from your ERP or data warehouse, generates an AI baseline demand forecast, and then recommends the optimal purchases, transfers, and production orders across warehouses, co-manufacturers, raw materials, and channels. AI agents read supplier and co-man updates, flag exceptions, and propose how to handle them; every recommendation shows its reasoning and requires one-click approval before flowing back into your ERP. Sales, finance, marketing, and ops can adjust the same baseline in one consensus S&OP view, and you can ask what-if questions in plain English — a demand drop, a co-man delay, a promotion — and see the effect in seconds. Onboarding starts with a sandbox: after one call Spherecast loads your sales, inventory, PO/TO, and supplier data and maps your network in days. The company is backed by Y Combinator and used by HOLY, prohealth, and mammaly. It fits mid-market CPG teams with multiple warehouses and co-manufacturers that already have structured data in an ERP or warehouse.
Behind the Verdict
Spherecast's pitch is narrower and sharper than most planning software: stop planning, start executing. The product does four things and does them in one place. First, planning: it builds an AI baseline demand forecast and lets sales, finance, marketing, and ops override it in a single consensus view, so you get one forecast and one truth instead of four spreadsheet versions. Second, inventory and ordering: it projects what you'll need by SKU, location, and raw material — purchases, transfers, co-man production — weeks ahead, and auto-generates the optimal actions. Third, exception handling: AI agents read every supplier and co-man update, flag issues, and recommend how to respond, which is the part that actually removes manual data entry, since approved updates flow straight into the ERP. Fourth, simulation: you can ask any what-if in plain English and model demand drops, promotion spikes, or a co-man delay in seconds; add a new warehouse or co-man as a node and Spherecast re-optimizes flows across the dependency graph. The trust design is a genuine differentiator — every recommendation carries its 'why' and needs one-click approval, and each forecast method is explained in the app, which is what makes operations leaders willing to hand over execution. Client quotes from HOLY, prohealth, and mammaly consistently point at the same thing: hours of planning collapsing into minutes and a full supply plan generated across warehouses, constraints, and co-mans. The honest constraints are two. Spherecast needs structured data — an existing ERP or data warehouse — so brands still running off raw spreadsheets with no system of record will struggle to start. And the focus is omnichannel CPG; if you're in heavy manufacturing, services, or have a simple single-channel supply chain, the multi-echelon, co-man-heavy model is more machinery than you need. Setup is described as two to three weeks after a sandbox run, and onboarding begins with a call rather than a pure self-serve flow, which is normal for a system that touches your ERP. If you want a pure visualization layer and no execution, this is the wrong tool. If you want the planning to actually place the orders, it's built for exactly that.
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Real-world workflow fit
Concrete scenarios for the personas Spherecast actually fits — and what changes day-one when you adopt it.
After one onboarding call, Spherecast loads sales, inventory, PO/TO, and supplier data into a sandbox and maps every co-man, raw material, supplier, and channel dependency.
Outcome: Your supply chain is visualized in days instead of months, and the agent generates a baseline forecast plus optimal order recommendations you can review and approve.
A co-manufacturer emails a delay. The AI agent reads the update, flags the exception, and recommends how to adjust purchases, transfers, and production across affected SKUs.
Outcome: The approved change flows back into your ERP in one click, and the unapproved alternatives stay visible with the reasoning behind each recommendation.
Sales, finance, marketing, and ops adjust the same baseline forecast in one view, then you ask a plain-English what-if about a promotion spike.
Outcome: You leave the meeting with one consensus forecast, one set of tracked overrides, and an execution-ready plan rather than four spreadsheet versions.
Use Cases
- Auto-generate purchase and transfer orders for the upcoming season across multiple warehouses.
- Simulate the impact of a two-week co-manufacturer delay on inventory and re-plan flows.
- Parse supplier emails and push expected delivery updates into your ERP without manual entry.
- Run a what-if on a 20% demand drop during a promotion.
- Build one consensus forecast with input from sales, finance, marketing, and ops.
- Add a new warehouse or co-man node and let Spherecast re-optimize the network.
Models Under the Hood
as of 2026-09-25
Limitations
- Spherecast depends on connecting to an existing ERP or data warehouse, so brands without structured sales, inventory, and order data will struggle to onboard.
- The onboarding path starts with a sandbox run set up after a call with the Spherecast team and data is loaded on your behalf, so you're not simply signing up and self-serving from minute one.
- Average implementation after that sandbox runs two to three weeks, plus any customizations agreed with the team.
- The agentic capabilities around supplier email parsing and exception handling are described by the vendor as actively evolving.
- Coverage is squarely omnichannel CPG with co-manufacturers; heavy manufacturing, services, and single-channel operations are out of scope.
as of 2026-10-02
Verification history
We have re-verified Spherecast 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
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- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Where the pricing makes sense
The company stage and team size where Spherecast's pricing actually pencils out — and where peers do it cheaper.
Spherecast sells a SaaS fee with a 30-day money-back guarantee after onboarding. That places it against other multi-echelon planning systems rather than cheap point tools: legacy S&OP suites such as o9 and Kinaxis sit well above a mid-market CPG budget in both licence and deployment cost, while spreadsheet planning or an ERP demand-planning add-on looks cheaper up front but carries headcount and stockout costs Spherecast is priced to displace. Mid-market CPG brands with multiple warehouses and
Setup time & first value
How long it actually takes to get something useful out of Spherecast — broken out by persona, not the marketing-page minute.
For an omnichannel CPG brand with data in an ERP or warehouse: after one call Spherecast connects to your sources and loads sales, inventory, PO/TO, and supplier data, with your supply chain visualized in days rather than months. Average implementation after a successful sandbox runs two to three weeks, excluding any customizations agreed with the team. Brands without structured data will take
Switching to or from Spherecast
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheets: Spherecast loads your sales, inventory, PO/TO, and supplier data after one call and runs a sandbox before you commit.
- →From an ERP MRP or demand-planning add-on: Spherecast replaces the add-on and writes approved orders back into the ERP.
- →From legacy S&OP suites: start with the sandbox to compare your generated supply plan against your incumbent before switching.
- ↗To an ERP-native MRP add-on: export your approved plans and purchase/transfer orders back into the ERP and wind down Spherecast when the add-on covers your network.
- ↗To a legacy S&OP suite: your history of baseline forecasts, overrides, and approved actions is the starting dataset for the incumbent's demand-planning module.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Spherecast”, and we withheld 6: 6 could not be judged, because “Spherecast” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Spherecast.
Official links
Tools that pair well with Spherecast
Common stack mates teams adopt alongside Spherecast, with the specific reason each pairing earns its keep.
Coupa AI
Coupa AI is an AI-native spend management platform that runs agentic procurement, finance, and supply chain workflows inside a mature source-to-pay suite.
Microsoft Dynamics 365 Supply Chain
Microsoft's enterprise supply chain ERP with Copilot and AI agents woven into planning, procurement, manufacturing, and warehouse operations.
Cropin
Cropin delivers agentic AI crop intelligence for real-time agriculture, climate risk, and supply chain decisions.
Featured Head-to-Head Comparisons
Spherecast vs Geologicai
These are not competing products, and no buyer should ever be choosing between them. GeologicAI is capital-project geoscience tech — a multi-sensor scanning rig plus resource modeling services sold to miners whose drill programs cost millions; you evaluate it like equipment, with a pilot and a QA plan for senior geologists. Spherecast is operational planning software for CPG supply chains — you connect an ERP, trial a sandbox, and approve AI-generated purchase and transfer orders within weeks. If you're actually weighing these two, you've mixed up procurement categories: pick the one that matches your problem, not a comparison. No shared budget line, no shared evaluator, no shared risk profile.
Spherecast vs Bitsgap
If you run an omni-channel CPG brand drowning in spreadsheets, Spherecast is purpose-built for you — it replaces manual planning with AI-driven forecasting and automated purchase orders. If you trade crypto and want bot automation across multiple exchanges, Bitsgap offers proven bots and a demo mode to test strategies risk-free. These tools serve entirely different domains; choose based on your industry (CPG vs. crypto) and need (supply chain execution vs. trading automation).
Spherecast vs Screenplayiq
These tools serve completely different domains: ScreenplayIQ for film script analysis with market prediction, Spherecast for CPG supply chain automation. Choose based on your industry — no direct competition. ScreenplayIQ's free tier and low-cost Pro make it accessible for individual screenwriters; Spherecast targets mid-market brands needing ERP integration.
Alternatives to Spherecast
View allCoupa AI
Coupa AI is an AI-native spend management platform that runs agentic procurement, finance, and supply chain workflows inside a mature source-to-pay suite.
Microsoft Dynamics 365 Supply Chain
Microsoft's enterprise supply chain ERP with Copilot and AI agents woven into planning, procurement, manufacturing, and warehouse operations.
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