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DIY & Builders Merchants

From a single washer to heavy machinery – product lines at builders merchants & hardware chains’ product lines vary radically by sales volume, price, size and weight.  Add wide variations in sales patterns and life cycle and you have a challenge.  RELEX cuts risk and boosts your bottom line with seasonal demand forecasting, flexible product classification and rule creation, allocation and delivery optimisation. Read more>>

Groceries

Grocery’s all about high volumes – transactions, products, customers, suppliers, and deliveries. Promotions and short product shelf lives simply add to a complex mix.  RELEX reduces complexity with automated replenishment, multiple demand forecast models, rolling analytics, flexible rule creation and classification, campaign management and delivery optimisation. All help large grocery businesses cut waste, boost sales and increase profits. Read more>>

Consumer Electronics

Consumer electronics retailers face challenges like short product lifecycles, multiple promotions and sales spikes. By automating replenishment for year-round, steady sellers RELEX helps you focus on key products. Good, flexible demand forecasting, product classification, campaign management and allocation radically reduces the possibility of lost sales or over-stocking. Read more >>

Fashion & Clothing

In Fashion retailing you need fingertip control of your sales data and you need it in ways unique to your business – by size and by colour. RELEX offers forecast tools to minimise over-orders, fine-tune allocation to create the right mix across stores, rolling analytics so you can spot trends NOW and respond.  Read more>>

Specialty Retail

Whatever branch of speciality retail you’re in; brewing, pharmacy, flowers, spare parts, tyres, hobbies or a hundred others, you need supply chain management that wraps round your company – not the other way round.  Flexibility has been built into RELEX systems from the get-go. However you want to classify, forecast, allocate, analyse, with RELEX you  decide. Read more>>

Home & Garden

The Home and Garden sector is highly seasonal and deals with a wide range of products from multiple suppliers.  With RELEX systems, seasonal forecasting models can be optimised for each product, allocation can be managed accurately to minimise end of season stock and reordering automated for perennial lines so you can prioritise the management of exceptions. Read more>>

Wholesale

The scale and scope of wholesale businesses make it all the more vital that your key people are free to manage.  Intelligent automation can increase shelf availability while slashing excess inventory.  Most importantly it can unchain staff from repetitive inventory control and reordering tasks so they can play a more effective role in the success of your business. Read more>>

Demand Forecasting

Good forecasting is like having technology’s answer to a crystal ball. Except rather than offering a misty view of the future, forecasting takes a crystal-clear analysis of the past, based on good, hard data and applies it to future seasons, promotions and product launches.

Some companies see forecasting as difficult, expensive or as little more than guesswork. None of these are true. RELEX offers a range of forecasting models that can be adapted and implemented to best reflect the nature of your business.

We’ve managed to reduce clients’ inventories by up to 30% and yet increase shelf availability and maximise sales opportunities while slashing residual, post-season stock and freeing up managers’ time. RELEX systems take the strain and do the number crunching, allowing managers to manage stores, colleagues, promotions and customers – which is just how it should be.

  • Sales forecasting has a direct impact on the level and quality of service experienced by customers as well as the economic viability of a company’s operations.
  • Sales forecasting is an integral part of careful sales planning, and creates a solid foundation for profitable sales.
  • Sales forecasting is a lot easier than you think. The question is not ‘Can my company afford to invest in developing forecasting procedures?’ but ‘can it afford not to?’