Boostorder at AI Taiwan 2026: From Order Automation to Smart Operations

At AI Taiwan Future Commerce Expo 2026, Boostorder showed how its B2B AI assistant connects brands, distributors, channels and ERP into one smart flow.

Boostorder CEO speaking on the open stage at AI Taiwan Future Commerce Expo 2026 about boosting B2B sales with AI

Multiple channels add complexity to B2B operations

With retail channels multiplying, orders arriving from scattered sources, and labour shortages and operating costs on the rise, growing the business without significantly adding headcount has become a key digital transformation challenge for Taiwanese brands and distributors.

At AI Taiwan Future Commerce Expo 2026, Boostorder showcased solutions that use AI to strengthen B2B sales and operations, helping businesses connect brands, distributors, channels and existing ERP systems into one intelligent flow, from enquiries, ordering and promotions to payment and delivery tracking.

Bringing together LINE, email, PDF and procurement-platform orders

Taiwanese brands and distributors often serve hypermarket chains, supermarkets, convenience stores, auto accessory stores, hardware shops and small to mid-sized retailers at the same time. Customers may order through LINE, phone, email, PDF, Excel, procurement platforms or e-commerce systems.

With orders coming from so many sources, back-office staff still have to repeatedly sort out customer part numbers, special prices, promotion terms and payment methods, which is time-consuming and easily leads to data discrepancies.

AI that understands customer language and business rules

Boostorder's B2B AI assistant understands the shorthand and purchasing language customers use every day. Combined with order history, customer-specific items and prices, promotion rules and payment terms, it answers product and stock questions instantly, recommends suitable promotions, and can even create the order directly.

When a retailer asks, "Has last week's order been delivered?", the AI connects to back-end systems to quickly return the order and delivery status, cutting the back-and-forth between sales, back office, warehouse and logistics teams.


Helping sales reps complete store visits, returns and restocking in one go

For front-line sales, Boostorder also brings AI into store visits and customer service.

Reps can identify products from a photo, look up the original order and create a return request. After photographing a shelf, the system can also analyse out-of-stock and low-stock items, then recommend promotions based on the customer's eligibility and generate a restock order, so a single customer visit covers stock checks, returns, promotions and ordering.

Automatically converting trade documents into ERP orders

In the back office, PDF or Excel orders from email, procurement platforms and e-commerce channels can be processed by AI, which extracts the data, recognises customer and supplier part numbers and special prices, converts them into standard sales orders and syncs them to the ERP, reducing manual entry and paperwork.

Using AI to multiply team capacity, not replace employees

Boostorder notes that the purpose of adopting AI is not to replace employees, but to turn the experience, customer rules and operating know-how held in senior staff's heads into repeatable, standardised company capability.

With AI handling data processing and repetitive work, sales teams can focus on customer relationships and sales growth, while back-office teams can support a larger trading volume with the same headcount.

Serving more than 400 brands and distributors

Boostorder's solutions are already used across FMCG, auto parts, beauty and health, home goods, F&B and industrial supply, serving more than 400 brands and distributors.

Through this exhibition, Boostorder hopes to explore the practical adoption of B2B AI together with Taiwanese businesses, starting with single-task automation and gradually building an AI digital team that understands business rules, supports employees and runs cross-department processes.

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