WaterTech Corp.
SAP Business One Runs Order-to-Ship on Autopilot Across Every Channel
North America
Disclaimer
WaterTech Corp., a company from the APPSeCONNECT customer base. appse ai is APPSeCONNECT's own product, built with significantly more advanced automation and AI capabilities. This case study has been adapted to reflect how WaterTech Corp.'s use case would run on appse ai today.
Amazon, Shopify & BigCommerce ↔ SAP Business One, automated with appse ai
- Company
- WaterTech Corp.
- Headquarters
- United States
- Industry
- Manufacturing — Cordless Pool Cleaners
- Integration Scope
- Orders, inventory (multi-warehouse), shipping labels, tracking, 3PL fulfillment data
About WaterTech Corp.
WaterTech Corp. designs and manufactures cordless pool cleaners, selling through a mix of direct e-commerce (Shopify, BigCommerce) and major marketplaces (Amazon), backed by SAP Business One as its ERP of record and Veeqo plus third-party logistics partners for fulfillment.
The Operational Challenge
As demand grew from dozens to hundreds and eventually thousands of orders a day, WaterTech's team was still bridging SAP Business One and its storefronts by hand — reading each order and re-keying it into the ERP, printing shipping labels manually, and matching them against an old WMS. Inventory numbers lived in SAP B1 but never propagated to the storefronts automatically, so sales staff resorted to manually updating stock counts over weekends just to avoid overselling. None of it could flex to route orders to the nearest warehouse, substitute products when stock ran low, or support a clean expansion into new countries — every new requirement just meant another manual workaround stacked on the last.
The problem
As WaterTech's order volume scaled into the thousands per day, the gap between its storefronts and SAP Business One created bottlenecks that manual effort could not keep up with:
- 01
Manual Order Processing
Every e-commerce order had to be read and re-entered into SAP Business One by hand, with shipping labels printed and matched against orders in an old WMS separately. At scale, this created constant delays and a rising error rate.
- 02
Limited Inventory Visibility
No real-time view of stock across multiple warehouses meant customers had no idea which location their order would actually ship from, or whether it was in stock at all — leading to inaccurate delivery expectations and manual weekend inventory corrections by sales staff.
- 03
Inefficient Shipping & Logistics
With no automated way to send shipment data to 3PL partners, fulfillment coordination relied on manual data entry, slowing delivery and introducing avoidable errors.
This is the exact pattern appse ai exists to remove: connected systems that still depend on a human to bridge the last mile between them.
Why appse ai
WaterTech needed an automation layer that could keep SAP Business One as the single source of truth across every channel — without a custom middleware build or a dedicated integration team, and flexible enough to encode business-specific logic like multi-warehouse routing and product substitution.
appse ai delivered pre-built connectors between SAP Business One and Amazon, BigCommerce, Shopify, and Veeqo, plus closed-loop 3PL data exchange — with custom workflows for dynamic multi-warehouse shipping and stock substitution built on top, without requiring WaterTech to hire developers.
The solution — always-on workflows across order, inventory & fulfillment
Instead of manual reconciliation across five systems, appse ai deployed always-on workflows that watch every channel and SAP Business One simultaneously:
- E-commerce Order Sync (Amazon, BigCommerce, Shopify → SAP B1)
Orders are captured and pushed into SAP Business One automatically the moment they're placed, removing manual entry and the errors that came with it.
- Real-Time Multi-Warehouse Inventory Sync
Stock levels in SAP B1 are mirrored live across every storefront and warehouse, preventing overselling and ending the manual weekend inventory updates — critical groundwork for the European expansion.
- Automated Shipping via Veeqo
Shipping labels are generated and tracking data is written back to SAP B1 automatically, replacing the manual print-and-match process.
- 3PL Data Exchange
Fulfillment and delivery status flow automatically between SAP Business One and WaterTech's 3PL partners, closing a gap that previously ran on manual coordination.
- Custom Multi-Warehouse & Substitution Logic
Purpose-built workflows route shipments dynamically from the nearest warehouse with stock and apply product substitution rules automatically when a location runs low.
Each workflow runs as a closed loop: detect the event in one system, resolve it against the other, execute the update, and only surface an exception to a human when judgment is genuinely required.
100%
Reduction in Manual Order-entry Effort
- Manual order entry eliminated across Amazon, BigCommerce, and Shopify
- Real-time multi-warehouse inventory accuracy, ending weekend manual corrections
- Faster, more accurate order fulfillment via automated Veeqo shipping
- Automated 3PL coordination removed manual shipment handoffs
- Expansion into European markets without added operational headcount
- Scaled to substantially higher order volumes without new integration staff
appse ai has been instrumental in transforming our operations. Putting SAP Business One on autopilot let us eliminate the manual order entry and processing that was eating our team alive — it made an enormous difference to how efficiently we run, and as we've added new channels or needed workflows for multiple warehouse locations, appse ai has adapted right alongside us. We've cut errors, sped up order processing, and given customers a noticeably better experience — it's been a genuine game-changer.
Frequently asked questions
How does appse ai integrate Amazon, Shopify, and BigCommerce with SAP Business One?
appse ai uses pre-built, bi-directional connectors that sync orders, inventory, and customer data between each storefront and SAP Business One automatically, without custom middleware.
