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AI-Enabled Merchandising Hub — Real-time Inventory & AI Replenishment Hub

Emart24 · Đăng 1 năm trước

Bán lẻ và thương mại điện tửAI hội thoại / ChatbotPhân tích dự đoán / Dự báoPhát hiện bất thường / gian lậnTìm kiếm và truy xuất tri thức
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Thời gian
Chưa nêu
Đã đóng vào
29 thg 11, 2025, 23:59 ICT

Vấn đề cần giải quyết

Xilnex (store POS/inventory) and Business Central (HQ finance) are not integrated. Merchandisers lack a single, real-time view of stock, replenishment decisions are slow and manual, RTV and planogram management are inefficient, and Finance receives noisy postings. We need a central hub that links both systems, provides real time stock visibility, and delivers AI-assisted replenishment, RTV automation and planogram suggestions while producing clean postings for Business Central.

Kết quả kỳ vọng và chỉ số thành công

- Real-time stock update speed across stores & HQ - Target: Pilot ≤ 5 min → Scale ≤ 1 min. - Stock on shelf - Target: Pilot ≥ 90% → Scale ≥ 95%. - Stock-outs / OOS - Target: Reduce 30% in pilot → 45% at scale. - Over-stock / excess - Target: Reduce 20% in pilot → 35% at scale. - Forecast error - Target: ≤ 20% in pilot → ≤ 15% at scale. - Auto-replenishment coverage - Target: ≥ 50% in pilot → ≥ 75% at scale. - Store fulfilment rate - Target: ≥ 96% in pilot → ≥ 98% at scale. - Time to place orders - Target: Shorten by 40% in pilot → 60% at scale. - RTV accuracy - Target: ≥ 85% accurate in pilot → ≥ 90% at scale. - RTV Time - − 35% time in pilot → − 50% at scale. - Planogram compliance - Target: ≥ 85% in pilot → ≥ 93% at scale. - Finance auto-match - Target: ≥ 85% auto-match in pilot ≥ 95% at scale

Quy trình hiện tại

Systems & integration: Xilnex is used for store POS/inventory and Microsoft Business Central for finance. RTV is handled manually, and planogram reviews are spreadsheet-based. There is no automated integration between these systems. Store-level SOH visibility: There is no real-time view of stock on hand at the store level. Stores place orders based on experience and judgement. After promotions, unsold stock requires time-consuming manual counts, leading to delays and, at times, product expiry or missed return windows. Procurement & replenishment (Dry Stock): Procurement relies on daily email reports from the 3PL (Aging Stock, Order Fulfilment, Shipping Summary, Receiving Fulfilment/Summary, Store Sales in units, Supplier Lead Time, and Delivery Schedules vs warehouse receiving). These are largely compiled manually. Planogram updates: Updates to stores are slow. Trend analysis and guidance are manually compiled by store cluster (e.g., transport hubs, CBD, street stores, universities). End-to-end visibility: There is no real-time linkage from store SOH → procurement’s multi-channel stock view → merchandisers’ category sales view. This limits timely decisions and optimization of assortment and opportunities by cluster.

Giải pháp hiện tại

- Systems & integration: Xilnex is used for store POS/inventory and Microsoft Business Central for finance. RTV is handled manually, and planogram reviews are spreadsheet-based. There is no automated integration between these systems. - Store-level SOH visibility: There is no real-time view of stock on hand at the store level. Stores place orders based on experience and judgement. After promotions, unsold stock requires time-consuming manual counts, leading to delays and, at times, product expiry or missed return windows. - Procurement & replenishment (Dry Stock): Procurement relies on daily email reports from the 3PL (Aging Stock, Order Fulfilment, Shipping Summary, Receiving Fulfilment/Summary, Store Sales in units, Supplier Lead Time, and Delivery Schedules vs warehouse receiving). These are largely compiled manually. - Planogram updates: Updates to stores are slow. Trend analysis and guidance are manually compiled by store cluster (e.g., transport hubs, CBD, street stores, universities). - End-to-end visibility: There is no real-time linkage from store SOH → procurement’s multi-channel stock view → merchandisers’ category sales view. This limits timely decisions and optimization of assortment and opportunities by cluster.

Người dùng và đội ngũ bị tác động

Merchandising & Category Managers Store Operations & Store Managers Supply Chain / Logistics Planners Finance (GL / COGS reconciliation) IT / Integration teams Inventory Audit team

Dữ liệu hiện có và mức độ sẵn sàng

TBD

Tích hợp, triển khai và hạ tầng

TBD

Công nghệ AI liên quan

AI hội thoại / ChatbotPhân tích dự đoán / Dự báoPhát hiện bất thường / gian lậnTìm kiếm và truy xuất tri thức