Industry digitalisation analysis

Digitalization of furniture, interior and home goods wholesale

Clear selection from catalogue to delivered set

Digital maturity

Typical digital maturity

Shows the level of digitalisation companies in this line of business typically operate at.

The assessment considers use of core systems, how far processes are digitalised, integrations, data readiness and advanced use of data.

A 3 means ordinary, middling maturity. A 5 is given only where real-time data, automated decisions and advanced optimisation are already a routine part of core operations.

medium
Digitalisation potential

Digitalisation potential

Shows the scale of business impact digitalisation could have in this line of business.

It weighs economic leverage, the scope for digital impact, the scale and repetition of processes, value lost today, and the leverage of better data and decisions.

A business area’s score is calculated from five weighted dimensions. A sector’s score is derived from the scores of its business areas.

64/100
Biggest challenge
Data on collections, models, materials and sets disaggregated
Biggest opportunity
Precise selection and ordering of the set

Operating model

Partners of stored furniture often repeat similar orders. In the design supply, materials, dimensions, set-up and delivery stages are combined each time.

Large number of models, materials, colors and sets

One model can have many sizes, colors, materials, legs, modules and other choices.

Visual information is part of the sale

Photos, samples of materials, finishing codes and 3D files must match the custom set-up.

Availability is not just dependent on warehouse

The manufacturer's term, production capacity, packaging, partial quantities and transport must be evaluated.

Big gauges are changing the ordering economy

The cost of transportation, unloading, assembly and damage can significantly reduce the margin.

Market context

The bulk of the furniture differs in the addition of stored goods and in the sets ordered by the project. The trading partner needs a reliable choice, price and deadline that he could provide to the final buyer. When changing the collection, it is especially important to update the finishes, dimensions and the ordered sets in time.

  • The catalogue must match the orderPhotos, trim codes and dimensions must describe exactly the option that the partner can purchase.
  • Delivery costsA partial set or transport violation causes an additional trip and a new alignment with the recipient.

Typical operating workflow

01

Preparation of assortment and collections

Getting models, materials, colors, dimensions, sets, images, packaging, prices and terms of supply.

02

Partner need or project request

The customer selects specific models, materials and sets, and provides quantities, object, budget and delivery needs.

03

Configuration and proposal

Checks the compatibility of the selected configuration, partner price, samples, set-up, term and logistics.

04

Order Confirmation and Supply

Reserve stocks or an order is placed for the manufacturer, and the production and transport term is monitored.

05

Set-up and delivery

Packages, parts of the set, route, unloading, assembly and proof of transfer are inspected.

06

Returns, Violations and Repurchases

The condition, claim, change and history of previous orders are fixed for a particular set.

Digital maturity scale

1

Separate records and manual work

Information is mainly held in separate files or notes. Employees pass it on and reconcile it manually.

2

Organised data within individual teams

Teams record their work consistently, but sharing information with colleagues still requires considerable manual checking.

3

Partially integrated systems

Core work is managed in systems. Some information is transferred automatically, but repeated data entry remains.

4

Coordinated systems and teams

Systems deliver the required data on time. Employees can see unfinished work and know who is responsible for resolving discrepancies.

5

Continuous measurement and improvement

The team checks data quality, evaluates results and uses them to improve operations. Automation is applied where its value can be demonstrated.

Executive conclusion

After the product data is arranged until the proposal is prepared, subsequent corrections are reduced. After the customer confirms the set, his/her choice must reach the purchase and delivery teams.

Related digitalisation topics

B2B booking portalProduct Data ManagementERP integrationDemand forecasting

Turning the catalogue of products, materials and outfits into a partner sales channel