News > Case Studies > Arch Enterprise
Optimising Arch Enterprise
Background: the purpose and function of Arch Enterprise (AE)
- A specialised merchandise management system that facilitates central operational control for retail operations
- Optimises and maintains efficiency and, ultimately, profitability in a multi-store enterprise
- Allows central management of:
- Procurement cycle – ensures the operation is optimally stocked
- Margin control – sales price maintenance and campaigns to maximise profits
- Data flow is central to the solution, with two main categories:
- Master data – product and supplier information that creates the trading environment
- Transactional data – operational data uploaded from the stores’ trading
- Integrated Business Intelligence (BI) across stores which:
- Centralised reporting eases the management burden
- Plays an important role in making strategic business decisions
Project overview
The project was undertaken for a group consisting of a mix of 56 retail and wholesale outlets which had lost significant market share and turnover during 2017/18. Some of the apparent issues were that products were not competitively priced and frequent out-of-stocks on key lines while being grossly overstocked on non-movers. The key objective of the project was to regain market share without adversely affecting margin. A margin and replenishment strategy were therefore developed to price goods more competitively and minimise out-of-stock situations.Problem areas identified
The following problem areas were identified, with the aim to rectify:- General ownership and responsibility of Arch system not clearly defined, thus no responsibility and accountability
- Poor master data quality
- Article variant links
- Inefficient department hierarchy complicated reporting
- No margin plan for different business models and divisions
- Incorrect article listings
- Fragmented use of AR and AE functionalities
- No formalised replenishment cycle / order planning
- Receiving process
- Stock not always received against original purchase orders
- Arch configured to use back orders on purchase orders, but orders not updated up or deleted
- Stock control
- Stock adjustments (weekly hazard counts) were not updated in the system, resulting in incorrect stock-on-hand figures
- High number of recounts needed to verify correct stock-on-hand, resulting in time-consuming financial stock takes
- Number of lines active in each store (80,000) resulting in onerous stock counts
- General
- Debtor payment terms not enforced
- Service department items recipes not implemented resulting in inaccurate stock on hand figures and GPs
- IT division
- Data communication problems – critical
- Incorrect printers and scanners used for selected business model
- Master data
- Incorrect article listings
- Legacy data in need of clean up
Remedies implemented
- Designed and implemented a new department structure
- Optimised and rationalised central article master, reducing it from 86,000 to 28,000
- Reduced blind counts during financial stock take from three to one with a focus on variances
- Implemented new processes in AR and AE
- Implemented a formal replenishment / order plan
- Installed correct printers and scanners for business needs
- Trained store managers, assistant managers and buyers
- Trained head office buyers, category managers, executives, directors, regional managers and IT department personnel
- Built and implemented a butchery process (recipes)
- Built BI reports in Arch Enterprise
- Custom-designed AR reports
- Built executive reports in AE
- Implemented business model analyses
Overall results achieved
Comparing 2019 (remedies implemented) with 2018:
Conclusions
The objective of the project was to ensure that AE is optimised and applied diligently in the operation. All measures implemented were in line with the objective.Results indicated a 16.1% increase in turnover and a resultant 14.7% growth in cash profits. This marked improvement has come at a minor sacrifice of only 0.1% drop in GP percentage.
These results were achieved by implementing a three-tier strategy comprised of a margin, stock and buying plan. It allowed the stores to price more aggressively without sacrificing materially on margin and at the same time minimise out-of-stocks. The project highlighted the importance of the margin plan and stock plan as strategic drivers in AE.