4B004B - Add to Cart: Fashion, Forecasts & Profit 01 Sep 2026 - 31 Aug 2032 | Version 1
Associated Module Information
| Module Code: | 4B004B | ||
|---|---|---|---|
| Module Title: | Add to Cart: Fashion, Forecasts & Profit | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Fashion, Marketing and Photography | ||
| Faculty Sub Group: | Fashion | ||
| Module Leader: | Sally Phillips | ||
| Module Team: | Jennifer Whitney, Susan James, Emma Jones, Steven Wright, Jayne Barne, Philip Harfield | ||
| First Intended Intake: | JAN 2026 | Final Year of Intake: | 2031 |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 4 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 30 | ||
| Equivalent Module: | |||
| HECOS codes: | 100075 - marketing | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Aug 2032 |
Module Aims
The main aims of the module are to:
Introduce students to the practices of buying and merchandising, including range planning and retail strategy.
Build expertise in trend forecasting, consumer profiling, and evaluating the retail mix (product, price, place, promotion).
Enable students to design professional buying and merchandising strategies that balance commercial viability, supply chain ethics, and brand identity.
Content Summary
Building on from skills gained in module one and two this module serves as students’ introduction to fashion buying and merchandising, exploring the roles these functions play within the fashion industry while considering emerging technologies shaping its future. Students will gain insight into how fashion products are selected, sourced, priced, and presented to meet consumer demand and maximise profitability. In addition to traditional practices, the module examines the impact of artificial intelligence (AI) and predictive analytics on trend forecasting, inventory optimisation, and personalised consumer experiences. Through real-world case studies and practical tasks, students are challenged to develop and apply commercial awareness, leverage data-driven tools, and understand supply chain dynamics in an increasingly digital and automated marketplace.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes & Workshops | 54 |
| Formative Assessment | 2 |
| Guided Study | 184 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Apply buying and merchandising principles. |
| LO2 | Demonstrate an understanding of pricing, sourcing, and sustainable supply chains. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Project Output | Allow students to demonstrate their understanding of the marketing mix through submission of a comparative shop, trend report, range plan and assortment plan. This assessment enables students to visually and critically document the buying and merchandising process. | 0 | 6000 | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Project Output | ✔ | ✔ | |