Singuli
AI demand forecasting and inventory optimization that cuts inventory costs by up to 20%
Singuli is a focused bet: probabilistic demand forecasting and inventory optimization for mid-market retail, DTC, distribution, and manufacturing, with a claimed up-to-20% inventory cost reduction and a 4-week go-live. The ERP connector list (NetSuite, JD Edwards, Dynamics, Cin7, Epicor Eclipse/Prelude, Odoo, Sage, Acumatica) is unusually broad for a tool this size, which lowers the switching risk. The catch is scope — if you need transportation, warehouse, or full supply chain orchestration in
Verified 2d ago · liveness 66/100 · cite: rightaichoice.com/tools/singuli
- Mid-market retailers and DTC brands where inventory is a material cost line
- Manufacturers, distributors, and wholesalers balancing service levels against working capital
- Supply chain teams running NetSuite, Dynamics, Epicor, Cin7, Odoo, Sage, or Acumatica
- Planners replacing manual (s,S) policies with probabilistic forecasting
- Small businesses with low annual inventory spend where a 20% cut won't move the P&L
- Companies needing one suite covering planning, transportation, and warehousing
- Teams requiring on-premise deployment or strict data sovereignty
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Skip Singuli if you need on-premise deployment or strict data sovereignty, if your inventory spend is small enough that modeling overhead never pays back, or if you want one suite covering planning, transportation, and warehousing.
Singuli's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
Singuli — AI demand forecasting and inventory optimization that cuts inventory costs by up to 20%. Best for Mid-market retailers and DTC brands where inventory is a material cost line, Manufacturers, distributors, and wholesalers balancing service levels against working capital, Supply chain teams running NetSuite, Dynamics, Epicor, Cin7, Odoo, Sage, or Acumatica. Contact Sales pricing.
No head-to-head comparison for Singuli yet — the alternatives below are the closest matches we list.
What people actually say about Singuli — is it worth it?
We scanned public community sources for Singuli on Oct 8, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Singuli. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Singuli? 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
- Probabilistic demand forecasting across the full distribution of outcomes
- Automated replenishment with purchase order creation
- Inventory allocation across stores and warehouses
- Demand planning overrides at item, category, or location level
- Purchase order, shipment, receipt, and landed cost tracking
- Reporting: ABC analysis, forecasted stockout dates, historical in-stock
- Forecasting for new product launches with limited sales history
- Seasonal and trend detection in demand
- Service level optimization against inventory cost
- Replacement of static (s,S) inventory policies
- White-glove ERP, OMS, or data warehouse integration
- Go-live in as little as 4 weeks with vendor-led integration
- Online savings calculator for annual inventory cost reduction
- Built for DTC, e-commerce, manufacturing, distribution, and wholesale
About Singuli
Singuli is an AI demand forecasting and inventory optimization platform for DTC and e-commerce sellers, manufacturers, distributors, and wholesalers. Rather than static (s,S) inventory policies, its machine-learning models weigh the full distribution of possible future outcomes, so you set service levels against real demand variability instead of a single point forecast. On top of forecasting, it automates replenishment and purchase order creation, allocates inventory across stores and warehouses, and tracks purchase orders, shipments, receipts, and landed costs in one place. The demand planning layer matters for teams that don't want to hand the wheel to a model. Planners can enter their own plans at item, category, location or any other level and compare them against the forecast. Reporting covers ABC analysis, forecasted stockout dates, and historical in-stock, and a savings calculator on the site estimates annual savings from your inventory spend, overseas mix, current stockout rate, seasonality, and growth profile. Implementation is white-glove: Singuli connects directly to your ERP, OMS, or data warehouse and says it can be live in as little as four weeks. Documented systems include Oracle NetSuite, Oracle JD Edwards, Microsoft Dynamics, Microsoft AX, Cin7 Core and Cin7 Omni, A2000 (GCS), Odoo, Sage, Acumatica, Epicor Eclipse, and Epicor Prelude. The team is PhD-led with over a decade in retail forecasting, and the site cites 50+ businesses on the homepage and 70+ customers elsewhere, so treat the count as approximate. The positioning is narrow by design. Singuli does demand forecasting and inventory optimization, not transportation, warehousing, or general supply chain orchestration — teams wanting one suite across the whole planning stack should look elsewhere, while buyers who want probabilistic inventory decisions without building an in-house data science function will find the scope is the point.
Behind the Verdict
Where Singuli earns its keep is the forecasting model itself. Probabilistic forecasting — modeling the distribution of demand rather than one number — is the right answer to the problem most mid-market planners have: point forecasts that look fine in a spreadsheet and blow up on a seasonal spike or a new product launch with almost no sales history. Singuli also handles the unglamorous downstream work (purchase orders, shipments, receipts, landed cost), which is where a lot of forecasting tools stop and the spreadsheet starts again.We'd reach for this when you're mid-market, your inventory is expensive enough that a 20% cut is real money, and you already run one of the ERPs on its list. The four-week go-live claim is worth testing early in the sales cycle — push for a scoped integration plan before you sign, because forecast quality depends on how clean and complete your demand, receipt, and cost history is.The demand planning overrides are more important than they sound. Planners who distrust a model want a way to put their own plan in at item, category, or location level and watch how the two diverge. That feedback loop is what makes the forecast improve instead of becoming a black box everyone routes around.Where it bites: Singuli is inventory software, not a supply chain suite. If your team expects planning, transportation, and warehousing in one login, or if procurement wants to bundle inventory with sourcing and supplier management, you'll be running Singuli alongside another system.Against
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Real-world workflow fit
Concrete scenarios for the personas Singuli actually fits — and what changes day-one when you adopt it.
Connect Singuli to NetSuite, load two years of SKU-level sales history, and set service levels by product class. The model produces probabilistic forecasts and Singuli drafts replenishment purchase orders for review.
Outcome: Replenishment runs off forecasted distributions rather than static reorder points, so seasonal SKUs get bought against the tail of demand instead of an average.
Use inventory allocation to push the right quantities to each store based on local demand, then override the model at category level for a promotion the model has not seen.
Outcome: Store-level stock positions track local demand, and planner judgment is captured in the same system rather than in a separate spreadsheet.
Track purchase orders, shipments, receipts, and landed costs in Singuli while the forecast runs, and use ABC analysis and forecasted stockout dates to prioritize which SKUs need attention first.
Outcome: The team sees cash tied up in slow movers and the SKUs at real stockout risk in one view, and can act on both without a separate reporting stack.
Use Cases
- Automate demand forecasting and replenishment for a DTC e-commerce brand to reduce stockouts and free up cash.
- Allocate inventory across multiple retail stores to meet local demand without manual transfers.
- Balance capital and service levels in manufacturing and wholesale by improving production planning and distribution.
- Replace spreadsheet-based replenishment for a mid-sized distributor running on NetSuite or Epicor.
- Forecast new product launches with limited sales history before committing to initial buy quantities.
- Enter planner overrides at item, category, or location level when the model disagrees with your read of the market.
- Track purchase orders, shipments, receipts, and landed costs in the same system that generates the forecast.
- Improve service levels on seasonal SKUs by forecasting from the full range of demand outcomes.
Models Under the Hood
as of 2026-10-16
Limitations
- Singuli is specialized for demand forecasting and inventory optimization, not a general-purpose AI tool.
- It requires integration with an ERP, OMS, or data warehouse to function, so it is not useful as a standalone spreadsheet replacement.
- The stated "up to 20%" inventory cost reduction is a best-case estimate from the vendor's own savings calculator, not a guarantee, and outcomes depend heavily on your data quality.
- Vendor copy reports both "50+ Businesses" on the homepage and "over 70 customers" elsewhere on the site, so treat the customer count as approximate.
- Because the platform is narrow, you will still need surrounding systems for warehousing and transportation execution.
as of 2026-10-09
Verification history
We have re-verified Singuli 19 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.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — 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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- — re-checked, vendor evidence unchanged
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Where the pricing makes sense
The company stage and team size where Singuli's pricing actually pencils out — and where peers do it cheaper.
Singuli's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
Setup time & first value
How long it actually takes to get something useful out of Singuli — broken out by persona, not the marketing-page minute.
Singuli states white-glove integration can have you up and running in as little as four weeks, connecting directly to your ERP, OMS, or data warehouse. The realistic first-value milestone is the first forecast cycle after your historical data is loaded and service levels are set — plan on the integration being the long pole, not the modeling.
Switching to or from Singuli
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheet-based (s,S) replenishment: connect Singuli to your ERP or data warehouse, load historical demand, and replace reorder-point logic with probabilistic forecasts.
- →From ERP-native forecasting: keep the ERP as the system of record and let Singuli run the forecasting and replenishment layer alongside it.
- →From a hosted planning tool: export historical demand and item/location master data, then map them to Singuli's item, category, and location hierarchy.
- ↗To a broader planning suite (e.g. Slim4): export demand history and planner overrides before switching, since those are the artifacts your team built inside Singuli.
- ↗To an ERP-native forecasting module: plan a reversal of the replenishment workflow back into the ERP, and expect to rebuild service level rules from scratch.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Singuli”, and we withheld 6: 6 could not be judged, because “Singuli” 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 Singuli.
Official links
Tools that pair well with Singuli
Common stack mates teams adopt alongside Singuli, with the specific reason each pairing earns its keep.
StockTrim
AI inventory forecasting and automated purchasing that tells SMBs exactly what to reorder — priced by revenue, not seats.
Relex
AI-native retail planning platform that forecasts demand, replenishes inventory, and automates fresh markdowns end to end.
SAP IBP
SAP IBP is cloud supply chain planning software for SAP-native enterprises running S&OP, demand, supply, and inventory planning on SAP HANA.
Alternatives to Singuli
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