An Epicor Eagle and BigCommerce integration is a data connection that syncs POS transaction data, live inventory counts, pricing, and customer account information between your Eagle system and your BigCommerce storefront. The result is a single source of truth where in-store and online operations run off the same data set, eliminating the manual reconciliation that causes stock mismatches and pricing inconsistencies.
Hardware and home improvement retailers running Eagle in-store face a persistent operational problem: their BigCommerce catalogue is effectively a separate system. A contractor buys out your last three boxes of 3/4-inch EMT conduit fittings before noon. Your BigCommerce store still shows them in stock. A customer places an order that afternoon and your team spends the next hour managing an awkward backorder conversation. That gap between what’s on the floor and what’s shown online is not a minor inconvenience. It erodes trust, slows fulfilment, and creates unnecessary operational drag.
This guide covers exactly what an Epicor Eagle and BigCommerce integration connects, how the data flows, the 5 reasons hardware retailers prioritize this project, the technical challenges we see most often, and what a realistic implementation looks like from start to finish.
The short answer is: far more than inventory. A well-built Epicor Eagle and BigCommerce integration creates a live data bridge across four core areas.
Real-time inventory across store locations. Eagle tracks quantity on hand (QOH), quantity on order (QOO), and arrival dates by store location. When integrated with BigCommerce, that data flows to the storefront so customers see accurate availability, whether you operate one location or twelve. For retailers running multi-store operations, the integration can be configured to show aggregate stock, per-location availability, or a blend of both depending on your fulfilment logic.
POS pricing and promotions. Eagle manages pricing at granular levels, including category pricing, promotional overrides, and competitor-matched adjustments. Without integration, these changes require a separate manual update in BigCommerce. With integration, a price change in Eagle pushes to the storefront on a defined sync schedule, so your online and in-store prices stay consistent.
Customer loyalty and account data. Eagle’s account association tools link in-store customer accounts to online profiles. Commercial customers can see their invoices, bids, purchase orders, and payment history through their BigCommerce account. That self-service capability matters particularly in hardware and home improvement retail, where contractors and trade accounts are a significant revenue segment.
Order fulfilment and BOPIS. Buy online, pick up in store is a core capability for hardware retailers. Once Eagle and BigCommerce are connected, an online order triggers a fulfilment workflow that routes to the appropriate store location. Staff receive the order, pull the product, and mark it ready for pickup, with status updates flowing back to the customer through BigCommerce’s notification system.
1. Unified inventory across channels. A single inventory count visible in both systems means your team stops managing two separate records. When a product sells in-store, the BigCommerce stock count adjusts. When an online order is placed, Eagle’s inventory decrements. The reconciliation work disappears.
2. Consistent pricing and promotions across touchpoints. Eagle’s pricing planner lets you set prices based on competitor data, cost inputs, and margin targets. An integrated BigCommerce store reflects those changes automatically. A customer who walks into your store after browsing online should see the same price. Right now, without integration, that consistency requires manual effort every time something changes.
3. BOPIS enablement for hardware and home improvement buyers. Hardware buyers, particularly contractors and DIY renovators, frequently need items same-day. According to TrendX Insights, the global BOPIS market was valued at USD 71.53 billion in 2025 and is projected to reach USD 147.83 billion by 2034. Hardware retail is a natural fit for this model because customers often need to inspect products, ask questions, or pick up multiple items in a single trip. Integration makes BOPIS operationally viable at scale.
4. Reduced overselling and backorder disputes. Without a live connection, your online store is working with stale data. The faster your inventory moves, the bigger the gap. For high-velocity SKUs like fasteners, paint, lumber consumables, or seasonal items, overselling is a near-constant risk. Real-time sync from Eagle to BigCommerce closes that gap.
5. A single source of truth for reporting and planning. Eagle provides powerful inventory analytics, forecasting, and margin reporting. BigCommerce provides channel-level sales data. Without integration, you are running two separate reporting environments and manually combining them to understand your full business picture. Integration consolidates that data flow so your reporting reflects what’s actually happening across every channel.
Eagle does not have a native, direct connector to BigCommerce out of the box. The integration is built through one of three primary methods, each with different tradeoffs.
Custom API-based integration. Eagle supports REST API access, which allows a developer to build a direct, bi-directional data connection between Eagle and BigCommerce. Data flows in real time or on a defined schedule. This approach offers the most flexibility for complex pricing logic, multi-location inventory allocation, and custom fulfilment workflows. It also requires ongoing maintenance as both platforms update.
Middleware connectors. Integration platforms like Jitterbit, Celigo, Dell Boomi, or MuleSoft act as a translation layer between Eagle and BigCommerce. They handle the data mapping, scheduling, and error logging without requiring fully custom code on both ends. Middleware options are faster to deploy than custom builds but come with subscription costs and some limitations on edge-case business logic.
Pre-built retail connectors. Modern Retail, for example, offers a purpose-built Epicor Eagle connector listed on the BigCommerce App Marketplace. Pre-built connectors reduce implementation time and are designed specifically for Eagle’s data structure. The tradeoff is less flexibility for highly customized pricing models or non-standard fulfilment workflows.
Sync frequency is a meaningful decision. Batch syncs, which typically run every 15 to 60 minutes, are adequate for slower-moving product categories but will create stock mismatch windows for fast-moving SKUs. Real-time or near-real-time sync, achievable through API webhooks, eliminates that window but requires more robust infrastructure and error handling. For most hardware retailers, a hybrid approach works well: real-time sync for inventory and orders, scheduled batch sync for product data and pricing.
Every integration project has its friction points. Here are the 4 challenges we encounter most consistently in Eagle-to-BigCommerce builds.
1. Reconciling Eagle pricing logic with BigCommerce’s pricing rules. Eagle supports layered pricing at the category, item, and customer level, including promotional overrides and time-bound discounts. BigCommerce has its own price list and rule structure. Mapping Eagle’s pricing logic to BigCommerce without creating conflicts or data loss requires careful field mapping and business rule documentation before a single line of code is written.
2. Multi-location stock allocation. If you operate more than one store, BigCommerce needs to know not just how much stock exists in total, but which location it is at and whether it is available for fulfilment. Eagle tracks this natively; BigCommerce needs that data in a format it can act on. The allocation logic, which location fulfils which order, and how backstock is handled, must be defined explicitly as part of integration design.
3. Matching Eagle SKU and category structure to BigCommerce’s catalogue taxonomy. Eagle’s product database is built around how a hardware store manages inventory, with part numbers, vendor codes, and category hierarchies designed for in-store operations. BigCommerce’s catalogue is structured for customer-facing browsing. These rarely map cleanly. A product data audit before integration begins is not optional. It determines how much remediation work is needed and directly affects the project timeline.
4. Data quality in Eagle before integration begins. Duplicate SKUs, inconsistent category assignments, missing product descriptions, and pricing records that were never cleaned up all surface during integration. The connector cannot fix data problems. It will replicate them to your BigCommerce storefront at scale. Retailers who skip the pre-integration data audit typically spend more time troubleshooting post-launch than the audit would have taken.
A realistic Eagle-to-BigCommerce integration project runs in three phases.
Phase 1: Discovery and data audit (3 to 6 weeks). This phase covers API access verification with your Eagle system, a full product data audit, pricing logic documentation, fulfilment workflow mapping (including BOPIS configuration), and multi-location stock allocation decisions. The retailer’s primary commitment here is access to your Eagle admin team and a product data export.
Phase 2: Integration build and testing (6 to 12 weeks depending on complexity). This covers the connector build or middleware configuration, field mapping, sync scheduling, BOPIS order routing, and error handling. Testing runs against a staging environment before any live data flows. This phase requires active involvement from your operations team to validate that pricing, inventory counts, and order routing behave exactly as expected.
Phase 3: Launch and stabilization (2 to 4 weeks post-go-live). The first weeks after launch are critical. Inventory sync discrepancies, edge-case pricing conflicts, and fulfilment routing exceptions all tend to surface under real transaction volume. A stabilization window with monitoring in place is not optional. It is where integration quality is actually proven.
Total timeline for a single-location retailer with clean product data: 12 to 16 weeks. Multi-location retailers or those with complex pricing structures should plan for 20 to 24 weeks.
The operational case for connecting Eagle and BigCommerce is straightforward for retailers who are actively managing the gap manually. If your team is reconciling inventory counts between systems, manually updating online prices when Eagle changes, or handling frequent backorder situations because your online stock data is stale, the integration pays for itself through time savings and recovered revenue from reduced overselling.
The more important strategic question is whether your current channel conflict is costing you customer trust. A contractor who places an online order and gets called back with a backorder message will buy from a competitor the next time. That relationship loss is harder to quantify than a reconciliation hours-saved calculation, but it is the more durable argument for integration investment.
For retailers considering BigCommerce as a net new channel, the integration question should be part of the platform evaluation, not an afterthought. Building a BigCommerce store without a plan to connect it to Eagle means building a second operations team to manage it.
Yes. Eagle tracks quantity on hand by store location, and a properly built integration can surface that data in BigCommerce. Whether you display aggregate stock, per-location availability, or route fulfilment to the nearest location is a configuration decision made during the integration design phase.
When a customer places a BOPIS order on BigCommerce, the order data flows to Eagle as a transaction, which triggers your in-store fulfilment workflow. Staff pull the product, confirm it ready for pickup, and the status update flows back to BigCommerce to notify the customer. Eagle’s existing checkout capabilities natively support BOPIS logic when connected to a storefront.
Single-location retailers with clean product data can expect 12 to 16 weeks from kickoff to stable go-live. Multi-location retailers or those with complex pricing models should plan for 20 to 24 weeks. The biggest variable is the state of your Eagle product and pricing data before the project begins.
With a properly configured integration, yes. Pricing changes made in Eagle, including promotional overrides and time-bound discounts, can sync to BigCommerce on a defined schedule or in near-real time. The complexity is in mapping Eagle’s pricing logic to BigCommerce’s rule structure, which requires explicit configuration during the integration build.
Both options exist. Modern Retail offers a purpose-built Eagle-to-BigCommerce connector listed in the BigCommerce App Marketplace, which reduces build time for retailers with standard requirements. Custom API-based integration or middleware platforms like Jitterbit or Celigo are the right choice for retailers with complex pricing structures, multi-location fulfillment logic, or non-standard workflows.
Skipping the product data audit. Retailers frequently assume that their Eagle data is clean enough to integrate directly. In practice, duplicate SKUs, missing attributes, inconsistent categories, and pricing records that have never been reconciled are the norm, not the exception. A connector will replicate those problems to your BigCommerce storefront at full speed. The audit done before integration begins is what determines whether your launch is clean or a troubleshooting exercise.
