Frequently Asked Questions

BurtonSoftware.ai ERP is designed to bring business processes and data across functions into one operating system --- for example sales, purchasing, inventory, orders, finance, management reporting, workflow automation, and AI-assisted work where appropriate. We normally do not begin with a feature list. We first understand how your business runs today, then identify which processes the ERP should improve.

Excel can be perfectly effective when the business is simple. The problem usually appears as the company grows: multiple versions, duplicate entry, approval gaps, limited audit history, inconsistent permissions, and slow reporting. The question is not whether Excel is bad; it is whether spreadsheet-based operations are now creating enough cost or risk to justify a system change.

ERP selection should not be based on the longest feature list. The better question is which platform best fits your processes, implementation complexity, automation goals, integration needs, growth plans, and total business value. We would like to understand your decision criteria first, then prove ourselves against those criteria.

The value is not only storing names and contact details. The sales team should be able to see relevant customer activity in one place --- inquiries, quotes, orders, transaction history, follow-up actions, and the information needed to serve the account.

The main value is eliminating duplicate work and controlling the handoff from quotation to confirmed order. We would want to understand your approval rules, discounting, inventory checks, and any business rules that occur before the order becomes final.

Management normally does not need more reports; it needs faster visibility into what is happening, which customers or orders need attention, and what actions the team should take next.

We first need to understand what "multi-warehouse" means in your operation. The requirement could involve availability, transfers, receiving, shipping, locations, ownership, or user permissions--- and each has different implications.

The first step is identifying why inventory becomes inaccurate. Common causes include late receiving, shipping errors, transfers, returns, manual adjustments, or multiple systems that do not agree. ERP value comes from making those inventory movements controlled, traceable, and consistent.

A low-stock alert is only the first step. The more important question is what should happen after the alert --- notify purchasing, recommend replenishment, create a request, or start an approval workflow.

We should evaluate the complete purchasing flow, not just whether a PO form exists. That includes purchase requests, approvals, PO creation, receiving, vendor history, and the connection into finance.

Supplier performance is usually more than price. Depending on your business, you may also care about lead time, purchase history, quality, payment terms, reliability, or service levels. We should first define what "best supplier" means to you.

We do not recommend changing a process just to say it uses AI. The better approach is to find repetitive, time-consuming, error-prone, or analysis-heavy work and determine whether AI can reduce effort while preserving the right level of control.

The more useful question is which repetitive tasks can be reduced so employees spend more time on judgment, customers, exception handling, and higher-value work. The business case can be greater capacity and better service, not necessarily headcount reduction.

AI should not have the same authority in every process. Higher-risk transactions need appropriate review, approval, permission, and audit controls. The first design step is deciding what AI may recommend, what a user must confirm, and what requires manager approval.

Integration is not only a yes-or-no question. We need to know which systems are involved, what data must move, in which direction, how often, which system owns the data, and what happens when an integration fails.

Data migration is a major part of an ERP project. The first decision is not "move everything." We should identify which historical data is required, what must remain accessible, what needs cleaning, and what is truly needed on Day 1.

Implementation timing depends on scope, modules, users, data migration, integrations, customization, testing, training, and customer resources. Before discovery is complete, we should avoid giving a date that is not supported by the actual scope.

ERP success is not only a software issue; it is also a process and adoption issue. If the new workflow is harder than the old one, adoption will be difficult. That is why actual end users should participate early in demos, UAT, and process design.

We can discuss pricing, but ERP cost depends on scope. Before giving a meaningful number, we should confirm users, modules, integrations, migration, implementation, and customization so the commercial proposal matches the real project.

I understand. To make sure we are solving the right issue, is it expensive compared with your approved budget, compared with another ERP quote, or because the business value is not yet strong enough to justify the investment?

Commercial terms can be discussed once the scope and partnership structure are clear. Before reducing price, we should confirm whether price is the final unresolved issue or whether technical, legal, security, or business concerns remain.

Those are established platforms and can be strong choices for the right customer. We should not reduce the decision to brand name. The fair comparison is against your own decision criteria: business fit, implementation complexity, user experience, automation, integrations, cost, scalability, and long-term operating model.

That is a legitimate vendor-risk question. You should evaluate not only the product demo but also support, implementation, data portability, security, business continuity, and the long-term service model. We should make those risks transparent and provide evidence where available.

Data security should be reviewed through documented controls and your IT requirements, not through broad sales assurances. We can work through your security questionnaire and provide the current materials available for architecture, access control, data protection, backup, auditability, and related controls.

Oracle is a major enterprise SCM/ERP platform with broad global supply-chain depth. Burton should not try to win by claiming broader enterprise functionality. The better question is whether the customer needs a very large enterprise SCM environment or a more focused 3PL, warehouse, ecommerce, EDI, ASN, and supply-chain operating workflow.

NetSuite is a strong general ERP and financial platform with warehouse capabilities. Burton should determine whether the buying center is primarily Finance/ERP or warehouse/supply-chain operations. Burton can also coexist with NetSuite where NetSuite remains the financial system and Burton handles warehouse and supply-chain execution.

Cin7 Core is well known for inventory and connected commerce workflows. Burton should ask whether the customer primarily needs multichannel inventory/order synchronization or a deeper physical 3PL warehouse and inbound-to-billing workflow.

Ordoro is attractive to businesses that want straightforward shipping, order, and inventory operations. Burton should qualify whether the prospect needs a simple shipping/inventory tool or a full warehouse/3PL operating platform.

Odoo is a broad modular ERP with inventory, warehouse, accounting, CRM, ecommerce, manufacturing, and many other applications. Burton should not claim that Odoo lacks WMS functionality. The differentiation should be industry focus, process fit, and the amount of configuration/customization the customer wants to manage.

Infoplus is a warehouse-focused competitor with strong WMS and automation capabilities. Burton should position the discussion around the broader connected business process rather than saying Infoplus is "only a warehouse system."

ShipHero is a serious ecommerce and 3PL fulfillment competitor. Burton should not dismiss its warehouse depth. The comparison should focus on the customer's mix of DTC/ecommerce, B2B retail, cross-border inbound, ASN, EDI, billing, and broader ERP/financial workflow.

Linnworks and SkuVault are strong in multichannel commerce, inventory, order management, and warehouse workflows. Burton should discover whether the customer's core pain is channel orchestration or physical supply-chain execution, 3PL billing, and inbound logistics.

Logiwa is a high-volume fulfillment WMS competitor and publicly emphasizes AI-driven warehouse execution. Burton should not use "we have AI and they do not" as a differentiator. The discussion should compare the exact AI/workflow outcome and the broader business architecture.

Extensiv is a direct 3PL competitor with established 3PL WMS, billing, customer portal, and integration capabilities. Burton should not claim those functions are unique. The comparison should focus on cross-border inbound/ASN, architecture fit, ERP/EDI connectivity, workflow flexibility, and total customer experience.

Microsoft Dynamics 365 Supply Chain Management is a broad enterprise platform covering planning, procurement, manufacturing, warehousing, transportation, and related processes. Burton should position around focused logistics/3PL/ecommerce execution when the customer does not need the entire enterprise SCM footprint.

Lingxing is an established cross-border ecommerce ERP option, with public positioning across areas such as inventory, finance, reporting, advertising, AI, risk management, and overseas warehouse operations. We should not try to win by simply saying "we have more features." The better question is which platform best fits your core processes, automation goals, management complexity, and future operating model.

If your primary requirement is deep Amazon operational management, Lingxing is a competitor that should be taken seriously. Burton should not deny those strengths. Our job is to determine whether you also need broader cross-functional workflows, approvals, customer management, internal business logic, automation, or AI-driven workflows that span departments. The comparison should be based on your business requirements, not marketing claims.

Saihu publicly positions AI, BI, and cross-border operational capabilities, so "we also have AI" is not a useful differentiator. A better comparison is to select one real workflow and define exactly what the AI can read, recommend, approve, execute, and log--- then measure time saved, error reduction, and management control.

Implementation and service should be defined through a formal scope and operating model, not a verbal promise. We should confirm data volume, history, integrations, UAT, training, go-live responsibility, and support responsibilities before making commitments. Any promise such as "zero data loss" or a fixed go-live period must be supported by technical assessment and formal agreement.

Public information shows that Jushuitan has broad ecommerce ecosystem coverage across platforms, logistics, orders, warehousing, finance, after-sales, and supply chain. Scale and ecosystem breadth are real advantages. Burton should not try to compete on a logo count. We should identify the channels and integrations you actually need, the business rules behind them, and the depth of automation required. If you need eight critical integrations, having hundreds of unrelated integrations is not itself the deciding factor.

If the current system already supports the core business reliably, we should not recommend replacement for its own sake. The first decision is whether Burton should Replace, Coexist, or cover new workflows the existing system does not handle well. ERP projects often become unnecessarily risky when total replacement is assumed before the business problem is defined.

Eccang's public product lines include cross-border ERP, WMS, TMS, and overseas warehouse scenarios, which can be highly relevant for complex logistics and warehouse businesses. The correct comparison depends on your operating model. If third-party overseas warehousing and logistics are the center of the business, those specialized capabilities deserve careful evaluation. If your needs also include sales, customer processes, purchasing approvals, internal operations, and AI automation, then the full business architecture should be compared.

API capability is not a simple yes-or-no question. We need to understand the data objects, direction, frequency, error handling, permissions, volume, ownership, and responsibility boundaries. Sales should not promise a specific interface until the technical team has validated the requirement.

Dianxiaomi publicly positions broad capabilities for cross-border sellers, including multi-platform listing, order processing, purchasing, logistics tracking, warehousing, and finance. Burton should not stop at "we can also process orders." The question is whether your business now needs stronger enterprise process control, cross-department workflows, approvals, custom business logic, management visibility, or deeper AI workflows.

If the business is small, the process is simple, and the main need is multi-platform listing and order handling, a lower-cost tool may be the rational choice. Burton should not force a sale. The business case for upgrading appears when manual work, errors, approvals, fragmented data, and management complexity create a cost greater than the additional system investment.

Mabang publicly positions broad cross-border workflows across product selection, listing, orders, purchasing, warehousing, logistics, finance, customer service, WMS, and TMS. Burton should not make a vague claim such as "we are smarter." We should identify your most important workflows and decision criteria, then compare the same scenario, the same data, and the same KPI.

That is a reasonable concern. If the current system contains years of history, warehouse processes, and employee habits, a full replacement is itself a major risk. Burton can first be evaluated as an incremental system, a specific module, an AI/management layer, or a phased replacement rather than a big-bang migration.

Maturity, customer count, and industry history are legitimate parts of vendor-risk evaluation, and we should not dismiss them. ERP selection, however, also depends on business fit, implementation model, product evolution, automation capability, service model, data control, and total economics. The right approach is to make the risk transparent and validate it through due diligence and a pilot--- not ask you to "trust us."

Not necessarily. An ERP project should start by defining the target architecture, not by assuming that every existing system must be replaced. Burton can be evaluated as the core ERP, a business module, an automation/AI layer, or a system that coexists with existing platforms. Feasibility depends on integration, data ownership, and process responsibility.