Review of InventoryPath, cloud inventory & order management vendor

By Léon Levinas-Ménard

Last updated: November, 2025

InventoryPath is the inventory and order management product line marketed by AvanSaber, an Indian IT firm founded in 2014, that positions itself around “AI-enhanced” multi-channel inventory, warehouse and stock management for small and mid-sized businesses selling through online and offline channels; in practice, public evidence suggests a conventional SaaS application (closely intertwined with the better-known ZapInventory product) that centralizes stock, orders and channel integrations, but exposes little verifiable technical detail about its AI or optimization internals, making it reasonable to treat its capabilities as pragmatic workflow automation and reporting rather than state-of-the-art quantitative supply chain optimization.

InventoryPath overview

At a high level, InventoryPath is described by its publisher AvanSaber as an “AI-enhanced inventory management” solution designed to manage the entire purchase-to-sales cycle for multi-channel businesses from a single cloud platform.¹ G2’s product listing repeats this positioning, framing AvanSaber as a technology company offering multi-channel inventory, warehouse, order and stock management software to help businesses “focus on growth,” with InventoryPath as one of its inventory-focused offerings.² The InventoryPath blog, branded “by AvanSaber.com,” links heavily to ZapInventory and promotes topics like multi-channel inventory management, free inventory tools and generic best practices, reinforcing that InventoryPath is essentially a marketing and content umbrella around AvanSaber’s inventory SaaS stack.³⁴

Behind the product, AvanSaber Technologies Private Limited is an Indian IT company headquartered in Pune, incorporated in December 2014 with a modest paid-up capital and classified under information technology services.⁵⁶ Third-party profiles describe AvanSaber as a SaaS-oriented startup specializing in ERP inventory and AI consulting, listing a small portfolio of products including ZapInventory, InventoryPath, SocialMan.AI, UtilitiesLabs, Pi.TEAM and AutoBotWriter.⁷⁸ AvanSaber’s own “About” page emphasizes AI implementation, SAP consulting and recognition on software review sites such as Software Advice, Capterra, GetApp and G2 in 2021, but provides limited hard technical detail beyond broad buzzwords.⁹

ZapInventory, the better-known sibling product, is marketed as a “#1 multichannel inventory and order management software,” offering centralized stock visibility across multiple online and offline channels, accounting integrations (QuickBooks, Xero), shipping integrations (ShipStation, Shiprocket, Easypost, Aftership, etc.), B2B ordering, and reporting.¹⁰¹¹¹²¹³ InventoryPath’s own site and blog repeatedly direct visitors toward ZapInventory for concrete capabilities, which strongly suggests that InventoryPath and ZapInventory share the same underlying platform and codebase, with InventoryPath functioning more as a brand and content funnel than a distinct, independently documented product.¹³

Corporate ownership around the platform evolved in 2024. InvenSync Inc., a Delaware-based company, announced the acquisition of a “significant stake” in ZapInventory, explicitly describing ZapInventory as an AI-powered inventory management solution and naming Nikhil Jathar of AvanSaber to the InvenSync board.¹⁴ PitchBook later recorded ZapInventory as acquired on 2 April 2024 by FF Inventory, with AvanSaber listed as an investor.¹⁵ FF Inventory itself appears in the Shopify ecosystem as a small-business inventory app, developed and supported by InvenSync, which further links ZapInventory, InvenSync and AvanSaber around a shared inventory stack.¹⁶

Taken together, public information portrays InventoryPath less as a standalone “enterprise supply chain platform” and more as a small-vendor, cloud-hosted inventory and order management application—closely tied to ZapInventory—aimed at SMB merchants needing multi-channel synchronization, basic warehouse and order workflows, and light analytics. There is heavy marketing emphasis on AI and cutting-edge technology, but public, technically detailed documentation is very thin; no architecture diagrams, algorithm descriptions, or developer-level docs are exposed, and independent evidence of sophisticated optimization is lacking.

InventoryPath vs Lokad

InventoryPath and Lokad both operate in the broad space of inventory and supply chain decision support, but they occupy notably different layers of the stack and embody distinct technical philosophies.

InventoryPath (with ZapInventory underneath) is a cloud application for day-to-day inventory and order management: it centralizes stock quantities across channels, automates purchase and sales order workflows, connects to shopping carts and marketplaces, integrates with shipping and accounting tools, and offers basic reports and alerts such as low-stock notifications.¹⁰¹¹¹³ It is designed primarily for small and mid-sized retailers and e-commerce sellers that need to keep multiple online/offline channels in sync and reduce manual data entry. The technical emphasis, as far as public information shows, is on connectivity, workflow and UI rather than on advanced quantitative optimization.

Lokad, by contrast, is a specialist supply chain optimization platform founded in 2008 that focuses on probabilistic forecasting and decision optimization for larger, more complex supply chains.¹⁷¹⁸¹⁹ Instead of channel connectors, Lokad offers a programmable environment (the Envision domain-specific language) to build custom predictive optimization apps for demand forecasting, inventory, production planning and pricing. Independent profiles highlight Lokad’s use of quantile and probabilistic forecasting, machine learning and differentiable programming, with demonstrated performance in external benchmarks such as the M5 competition.¹⁷²⁰

From a technical standpoint, InventoryPath appears to be comparable to many SMB-oriented inventory SaaS tools: it maintains a transactional database of products, locations, customers and orders; it synchronizes data with external channels; and it provides UI flows and some automation around purchasing and replenishment. There is no public evidence of full probability distributions of demand, stochastic optimization, or a modeling language; the “AI-enhanced” label is not backed by transparent algorithmic detail.¹²²¹ Lokad, in contrast, positions itself explicitly as a white-box optimization engine where the core deliverable is a list of optimized decisions (orders, allocations, schedules) built from probabilistic models and economic drivers, with technical materials and third-party commentary available to scrutinize those methods.¹⁷²²²⁰

Commercially, InventoryPath/ ZapInventory targets a long tail of smaller customers and app-store-type deployments (e.g., Shopify apps), as implied by the ZapInventory and FF Inventory presence and the SMB-oriented feature set.¹⁰¹⁶ Lokad tends to focus on organizations with high inventory stakes—manufacturers, distributors, airlines—where annual inventory value and complexity justify custom modeling and collaboration with data scientists.¹⁷²²

In summary, InventoryPath is best understood as an operational, connector-heavy inventory system with some automation; Lokad is an optimization-centric engine intended to sit above ERPs and WMSs, numerically optimizing decisions under uncertainty. Comparing them directly as like-for-like “planning systems” can be misleading: InventoryPath addresses the basic mechanics of tracking and synchronizing stock, while Lokad tackles the mathematically hard problem of deciding how much to buy, where to stock, and at what service levels under probabilistic uncertainty.

Product scope and functional capabilities

Core functional scope

The InventoryPath/ ZapInventory stack focuses on classic multi-channel inventory and order management functions:

Centralized inventory across channels. ZapInventory positions itself as a multi-channel inventory hub, syncing stock across marketplaces and e-commerce platforms and providing a single view of on-hand quantities.¹⁰¹¹
Order management. Marketing pages emphasize automatic import of orders from online stores and marketplaces, plus tracking and fulfillment from within the platform.¹²¹⁷
Shipping and accounting integrations. Native integrations with shipping providers (Shiprocket, Easypost, ShipStation, Shyplite, Aftership) and accounting packages (QuickBooks, Xero) are a major part of the value proposition, reducing re-keying and enabling end-to-end order-to-cash workflows.¹⁰¹³
Basic inventory controls and alerts. Customer testimonials on ZapInventory’s integrations page mention low-stock alerts and general “inventory control tools,” suggesting typical rule-based monitoring rather than advanced optimization.¹³
Reporting and analytics. Marketing mentions sales, inventory, customer and purchase reports for configurable date ranges, consistent with standard operational reporting for SMB inventory tools.¹²

InventoryPath’s own blog posts about “maximizing inventory efficiency with software” and multi-channel inventory management reiterate these themes: centralized data, real-time visibility and departments accessing the same information to coordinate purchasing, sales and production.²³²⁴ These articles remain at the level of generic advice; they do not introduce distinct technical capabilities beyond what ZapInventory already advertises.

Notably absent from public descriptions are capabilities typically associated with advanced supply chain planning tools: multi-echelon inventory optimization, service-level-driven stocking policies, detailed lead-time modeling, or cross-network trade-offs framed in financial terms. The feature set is aligned with operational inventory control rather than strategic or tactical optimization.

Surrounding product portfolio

AvanSaber’s broader portfolio provides some context:

Pi.TEAM is a cloud-based business automation solution for HR, CRM, finance and related processes, including some light inventory and expense management functions.⁸
Other products include SocialMan.AI (social media-oriented), UtilitiesLabs (for utilities), AutoBotWriter (content automation) and various AI/SAP consulting offerings.⁹⁷

The breadth of this portfolio, coupled with the small size of the company, suggests that InventoryPath/ ZapInventory is one of several vertical SaaS products rather than the sole, deeply focused flagship. There is no evidence that AvanSaber operates a large, specialized R&D organization dedicated purely to inventory optimization.

Architecture, technology stack and integrations

Publicly available information about InventoryPath’s internal architecture and technology stack is sparse. AvanSaber and ZapInventory materials repeatedly emphasize that the solution is cloud-based and accessible from anywhere, which implies a standard web-hosted SaaS model with a multi-tenant backend, but there are no published details about the infrastructure provider, programming languages or databases used.¹¹⁰

What can be asserted with some confidence:

Web SaaS deployment. ZapInventory and FF Inventory are distributed via web sign-ups and app-store channels (Shopify), indicating that deployment is handled as a centrally hosted multi-tenant service rather than on-premise installation.¹⁰¹⁶
API/connector-driven integration. The advertised ability to integrate with many shopping carts, marketplaces, shipping providers and accounting systems implies a library of REST-style connectors and webhooks, although the underlying API documentation is not exposed publicly.¹⁰¹³
Operational data model. The feature set (products, invoices, purchase orders, bills, taxes, B2B storefronts) suggests a relational or document-oriented schema typical of SMB ERP/ inventory systems, but the vendor does not provide a schema or ERD for inspection.¹⁰¹¹¹²

No evidence is available of:

An exposed modeling or scripting language.
A dedicated optimization engine independent from the transaction store.
Published APIs for embedding third-party optimization logic.

As a result, InventoryPath should be treated as a closed SaaS application whose internal mechanisms cannot easily be audited or extended by customers beyond the configuration options shown in the UI.

AI and optimization claims

AvanSaber’s product pages and press materials make frequent reference to AI-enhanced or AI-powered solutions. InventoryPath is described as leveraging AI to optimize stock levels and streamline purchasing.¹ ZapInventory is framed by InvenSync’s acquisition announcement as a “frontrunner in AI-powered inventory management solutions.”¹⁴ A separate press release about AvanSaber’s AI and XR solutions claims proprietary AI models that delivered significant cost reductions and delivery improvements for a multinational manufacturer, without sharing experimental details or benchmarks.²¹

However, across InventoryPath, ZapInventory and AvanSaber’s public properties:

There are no technical whitepapers or blog posts that explain the specific machine-learning models used (e.g., time-series architectures, optimization formulations, training regimes).
No public API or configuration options expose probabilistic forecasts, safety-stock optimization parameters, or explicit objective functions.
Customer testimonials focus on workflow improvements (“manage purchase and sales orders from a single framework,” “low stock alerts,” “full control over our inventory”) rather than quantified optimization outcomes.¹³

Given this evidence, the most conservative, reality-aligned interpretation is:

InventoryPath/ ZapInventory likely uses rule-based automation (e.g., reorder-point thresholds, stock alerts, simple reorder recommendations) and standard reports as its primary decision support.
The “AI” labeling functions mainly as marketing language, with no independently verifiable proof of advanced forecasting or stochastic optimization comparable to specialized planning systems.

Without algorithm descriptions, open benchmarks or even configuration surfaces that expose forecast distributions or optimization criteria, it would be misleading to treat InventoryPath as a state-of-the-art AI/OR engine. It is more appropriately classified as a feature-rich inventory SaaS with potentially some internal heuristics.

Deployment, onboarding and usage

While detailed deployment documentation is not public, the nature of the product suggests a standard SMB SaaS onboarding pattern:

Self-service sign-up or sales-assisted onboarding via the web, with customers creating an account and configuring their catalog, locations and channels.
Connecting channels and systems by authenticating to marketplaces, shopping carts, shipping providers and accounting tools through built-in connectors.¹⁰¹³
Data import via CSV/Excel uploads of products, existing stock and historical orders (implied by reporting and centralization features, though not described in detail).
Incremental automation, enabling low-stock alerts, automatic order import and perhaps basic reorder suggestions once data is in place.¹³²³

The InventoryPath blog emphasizes improved collaboration and communication through centralized inventory data, enabling sales, purchasing and production teams to access the same information and coordinate operations—again consistent with a transactional SaaS replacing spreadsheets and disconnected systems.²³

There is no indication of:

Formal implementation projects with structured phases, change-management programs, or co-development of models with in-house data scientists.
On-premise deployment or hybrid architectures.
Explicit SLAs, high-availability designs or RPO/RTO guarantees beyond what is customary for generic SMB SaaS.

In short, deployment appears lightweight and app-centric rather than transformation-centric.

Clients, references and commercial maturity

Public client evidence for InventoryPath specifically is limited. AvanSaber’s broader portfolio shows some named customers for Pi.TEAM (e.g., Mashable, Dribbble, SaaS companies) in a Tracxn profile, but these relate to business automation rather than inventory per se.⁸ AvanSaber’s corporate “About” page highlights third-party software review badges (Software Advice, Capterra, GetApp, G2) in 2021, which demonstrate some adoption and positive user ratings but do not distinguish InventoryPath from the other products.⁹

For ZapInventory:

Customer testimonials on the integrations page describe successful use in managing purchases and sales orders, inventory controls and low-stock alerts, but they do not identify large, globally recognized enterprises; the tone is consistent with SMB merchants.¹³
External company databases (CB Insights, PitchBook) list ZapInventory but do not attribute significant revenue, funding rounds or high-profile enterprise deployments beyond the 2024 acquisition event.¹³³

On G2, InventoryPath has a presence in inventory-related categories, positioned against tools like Webgility, QuickBooks Online and Xero.² The competitors listed there are mostly SMB accounting, integration and inventory tools, which is consistent with InventoryPath’s target segment.

From this, a cautious assessment of commercial maturity is:

Age and continuity. The underlying vendor AvanSaber has operated since 2014, and the inventory products have existed long enough to accumulate app-store listings, review-site badges and a significant corporate transaction (InvenSync/FF Inventory acquiring ZapInventory).⁵¹⁴¹⁵
Scale. Available business-directory data portrays AvanSaber as a small private company, and InvenSync/FF Inventory as a niche player in the Shopify/SMB ecosystem rather than a large enterprise vendor.¹⁴¹⁶⁶
Segment. The product is oriented toward small and mid-size firms needing multi-channel inventory management. There is no public evidence of sizeable deployments in complex, high-stakes supply chains (e.g., aerospace, pharma, global manufacturing).

Overall, InventoryPath should be classified as a commercially established but small-scale SMB SaaS rather than an early prototype or a large enterprise player.

Assessment of technological state-of-the-art

Given the available evidence, InventoryPath/ ZapInventory does not meet a strict threshold for “state-of-the-art” supply chain technology in the sense used for probabilistic optimization, differentiable programming or advanced OR:

The product’s functional scope is squarely in transactional inventory and order management, with emphasis on multi-channel synchronization and operational workflows.
AI claims are high-level and marketing-driven, with no transparent description of models, no independent benchmarks and no surfaced probabilistic outputs.
There is no exposed modeling or scripting environment, no indication of Monte-Carlo-based decision engines or multi-echelon optimization, and no publications describing the mathematics behind planning recommendations.

This does not make InventoryPath a poor product for its intended segment: for many small retailers, simply centralizing inventory and automating order flows is a significant upgrade from spreadsheets and ad hoc processes, and customer testimonials suggest it performs adequately in that role.¹³²³ But from a strictly technical, research-driven perspective, the platform appears to align with typical SMB SaaS inventory systems rather than pushing the frontier of supply chain analytics.

By contrast, vendors like Lokad (and a handful of others) are documented as applying probabilistic forecasting, quantile methods and advanced optimization, with independent profiles and academic-adjacent references supporting those claims.¹⁷¹⁸²⁰ There is no comparable trail of evidence for InventoryPath.

Conclusion

InventoryPath is best understood as the brand under which AvanSaber (and, through corporate reorganization, InvenSync/FF Inventory) markets a cloud inventory and order management application that is tightly intertwined with the ZapInventory product. It offers practical, connector-driven functionality for multi-channel retailers and SMBs: centralized stock visibility, channel integrations, basic inventory controls, order management and standard reporting. On those dimensions, it appears commercially viable and reasonably mature for its niche.

However, when evaluated with a rigorous, technology-focused lens, InventoryPath does not presently exhibit the hallmarks of a state-of-the-art supply chain optimization system. Its AI branding is not backed by published model descriptions or benchmarks; its optimization story seems to revolve around conventional rule-based automation and alerts rather than quantified trade-offs under uncertainty; and its architecture is opaque, with no exposed modeling language or separation between transactional storage and optimization logic.

Commercially, the vendor ecosystem around InventoryPath remains small and SMB-focused. There are no publicly documented large-scale deployments in complex, global supply chains or independent assessments of its optimization performance. For organizations seeking deep quantitative optimization (probabilistic forecasting, multi-echelon optimization, economic-driver-based decision-making), InventoryPath would likely need to be complemented by more specialized tooling. For small merchants needing to move beyond spreadsheets into a cloud inventory system with decent integrations, InventoryPath/ ZapInventory may be a pragmatic, if technically unremarkable, option.