Skills

This tool gives MerchMix operations teams one place to see which applications and domains exist, whether they are live, how Azure applications and jobs are running, what they may cost, and whether the retail data pipelines are progressing through their scheduled stages. Users can maintain the service register and trigger fresh infrastructure or pipeline checks.

This service moves retail data from a Microsoft SQL Server reporting database into cloud data platforms so Merchmix and other analytics systems can use current information. It can refresh all data, update only changed records, compare source and target data, and repair historical gaps. Operators can monitor jobs and receive Slack notifications when synchronization succeeds or fails.

This service helps retail teams decide what to do with merchandise. It highlights products at risk of selling out, carrying too much stock, or experiencing unusual demand; compares pricing with competitors; and presents these findings in a daily briefing where users can review and approve or reject recommended actions.

This service keeps a retailer’s product, supplier, warehouse, purchasing, receiving, and sales data up to date in Databricks. It also gives operations teams tools to check whether ERP data arrived correctly, compare ERP exports with warehouse data, investigate invoices and stock items, repair missing records, and monitor pipeline health.

This service helps retailers maintain the dates and weekly plans that coordinate trading, marketing, budgets, promotions, and operational deadlines. It also provides a store directory and store-related information so retail teams and AI agents can work with calendars and stores in one place.

This service helps a retailer plan everything that must happen before a product launches, such as sourcing, freight, reviews, and other launch activities. Teams can start from reusable schedules, assign and track work, see workload and board views, collaborate through checklists and comments, and connect launch work to range plans.

This service gives Merchmix users a Learning Center where they can find short training videos about merchandise planning topics such as Allocation, WSSI, Replenishment, and Analytics. Staff can create, update, search, categorize, and remove learning videos, while users can retrieve the content and its thumbnail for display in the learning experience.

This internal dashboard helps Merchmix staff see how much AI usage the product has generated over recent days. It breaks usage down by AI model and distinguishes input from output tokens, helping teams monitor consumption and estimate costs without manually reviewing Azure monitoring data.

This is Merchmix’s mobile app for accessing core retail-planning information on Android. It appears to support a Today view and forecast-related data, with quick actions for scanning and searching, but the available repository evidence is not sufficient to describe the complete retailer experience.

This service helps retailers decide how much stock each store should receive, replenish stores, and manage the rules behind those decisions. It supports purchase-order allocation, store grouping, size mapping, inventory and sales analysis, replenishment runs, and operational transfers. Retail users can work through APIs or connected Merchmix tools, while background workers keep allocation and store metrics up to date.

This service supports retail teams planning which products and product options should be included in an assortment or range. It also provides configurable custom fields so each retailer can store planning information specific to their business. The available evidence does not establish the full set of planning workflows implemented in this version.

This repository does not currently provide an identifiable feature for retailers. No working service or business workflow could be confirmed from the available contents.

This service powers week-by-week retail planning views for different customers. It lets teams review planning numbers, test changes before saving them, commit approved overrides, export budget values, monitor data quality, and see supporting dashboards for buying and store performance. It also provides agent-friendly read access through MCP and system-to-system access through gRPC.

This repository appears to provide the branded Android shell for the Beacon product, but the available files do not show what Beacon does for retailers or expose any usable retail-planning functionality.

Beacon provides backend services for retailer operations and reporting. It appears to support identity and access, finance-related information, business insights, logistics information, and administrative or support workflows. The available evidence does not establish the exact retailer-facing workflows or calculations implemented by each API.

Beacon provides the web entry point for a Merchmix application. This repository appears to cover the user-facing application shell and access setup rather than retail planning work such as assortment, buying, inventory, or markdown management. The available evidence is insufficient to identify a completed retailer-facing workflow.

Beacon Finance appears to support financial remittance records and the controls needed to keep them accurate and traceable. It also includes database structures for reliable event processing and audit history, helping the business understand what financial changes occurred and when. The available evidence does not establish whether this repository performs user-facing finance operations or only supplies the underlying data service.

There is currently no implemented retailer-facing functionality in this repository. It cannot be used to perform or support merchandise planning activities based on the available evidence.

This repository currently has no visible software for retailers or internal users. Its purpose cannot be determined from the available repository contents.

There is currently no observable functionality for managing or organizing retail taxonomy data. This repository cannot be used to identify any retailer-facing capability from the available evidence.

This service turns raw retail sales, stock, purchase, and calendar information into reliable datasets used by Merchmix planning and reporting. It provides the data foundation for weekly sales and inventory analysis, purchase-order tracking, stock availability, and WSSI planning information. It runs automatically in Databricks and supports controlled refreshes for hourly, daily, and weekly data corrections.

This repository prepares retail data for merchandise planning in Databricks. It turns sales, stock, financial, and planning-configuration data into organised tables that can support WSSI analysis and other reporting or planning tools. It also includes a utility for moving selected legacy BigQuery data into Databricks storage.

This service helps retail teams create and improve product information faster. It can suggest new product concepts, descriptions, attributes, colors, and tags; generate product imagery and technical-pack content; find similar products from an image; identify duplicate products; recommend sizes and unit depth; assess markdown risk; and turn market and competitor data into product research recommendations.

There is no available implementation to show what the Forge iOS repository does for retailers. Its business purpose and supported workflows cannot be confirmed from this repository.

This service helps retailers build and manage option plans: the working plans that decide what styles, suppliers, and quantities should be bought for a season. Teams can set targets, review recommendations, approve plans, capture working snapshots, and push approved outcomes into range planning. It also connects to other Merchmix services so planners can bring in supporting data, generate planning notes, and share plan information across the platform.

This service helps retail planners understand what is selling, how much stock is available, how long stock will last, and what demand is likely to be in future weeks. It highlights risky inventory and can recommend actions such as buying, reallocating, expediting, or reducing purchase orders. Planners and internal tools access the results through APIs and exported files rather than waiting for large calculations to run on every screen.

This service gives retailers a consolidated view of how merchandise is performing against budget and last year. Users can create trade reviews, inspect sales, margin, stock, markdown, sell-through, and weeks-of-cover results, add commentary, export reviews to Excel, and schedule email or Slack delivery. It also produces recurring weekly executive briefings with key findings, risks, winners, and recommended actions.