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New
Pricing
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Planograms
Assortment Planning
Clustering
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Unified Data Engine
Dotactiv Viewer
LOLA – AI Assistant
LUNA – Planogram Automation
NOVA – Planogram Automation
TrueView – Planogram Compliance & Image Recognition
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Customize Your Demo: Choose Your Critical Business Issues
Please select the critical business issues that are the most important and relevant to you today:
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*
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1
of
3
33%
First Name
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Last Name
*
Business Email
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Phone Number
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Company Name
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Company Role
*
Country
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Afghanistan
Albania
Algeria
American Samoa
Andorra
Angola
Anguilla
Antarctica
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bonaire, Sint Eustatius and Saba
Bosnia and Herzegovina
Botswana
Bouvet Island
Brazil
British Indian Ocean Territory
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cabo Verde
Cambodia
Cameroon
Canada
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos Islands
Colombia
Comoros
Congo
Congo, Democratic Republic of the
Cook Islands
Costa Rica
Croatia
Cuba
Curaçao
Cyprus
Czechia
Côte d'Ivoire
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Eswatini
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Greenland
Grenada
Guadeloupe
Guam
Guatemala
Guernsey
Guinea
Guinea-Bissau
Guyana
Haiti
Heard Island and McDonald Islands
Holy See
Honduras
Hong Kong
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Isle of Man
Israel
Italy
Jamaica
Japan
Jersey
Jordan
Kazakhstan
Kenya
Kiribati
Korea, Democratic People's Republic of
Korea, Republic of
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macao
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Martinique
Mauritania
Mauritius
Mayotte
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Montserrat
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Caledonia
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norfolk Island
North Macedonia
Northern Mariana Islands
Norway
Oman
Pakistan
Palau
Palestine, State of
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Pitcairn
Poland
Portugal
Puerto Rico
Qatar
Romania
Russian Federation
Rwanda
Réunion
Saint Barthélemy
Saint Helena, Ascension and Tristan da Cunha
Saint Kitts and Nevis
Saint Lucia
Saint Martin
Saint Pierre and Miquelon
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Sint Maarten
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
South Georgia and the South Sandwich Islands
South Sudan
Spain
Sri Lanka
Sudan
Suriname
Svalbard and Jan Mayen
Sweden
Switzerland
Syria Arab Republic
Taiwan
Tajikistan
Tanzania, the United Republic of
Thailand
Timor-Leste
Togo
Tokelau
Tonga
Trinidad and Tobago
Tunisia
Turkmenistan
Turks and Caicos Islands
Tuvalu
Türkiye
US Minor Outlying Islands
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States
Uruguay
Uzbekistan
Vanuatu
Venezuela
Viet Nam
Virgin Islands, British
Virgin Islands, U.S.
Wallis and Futuna
Western Sahara
Yemen
Zambia
Zimbabwe
Åland Islands
Country
How would you best describe your business?
*
Select Option
Retailer
Supplier
Service Provider
Other
How many stores does your retail business have?
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How many main product categories do you offer?
*
What is your total number of active SKUs?
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Database Management
Database Management
Category Cluster Optimization
Category Cluster Optimization
Assortment/Range Optimization
Assortment/Range Optimization
Planogram/Micro Space Optimization
Planogram/Micro Space Optimization
Macro/Floor Plan Optimization
Macro/Floor Plan Optimization
Data Flow/Integrations
Data Flow/Integrations
Store Communications & Compliance
Store Communications & Compliance
Talent Availability
Talent Availability
Database Management
*
Product naming conventions are incomplete/inconsistent across stores.
Products are not classified into their relevant category, sub category, segment, and sub segment based on the consumer decision tree.
Inaccurate or incomplete geographic store information.
Raw product data related to category management is often not available when required.
Category Cluster Optimization
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Inefficient store-based clusters or inaccurate category-based clusters lead to wrong assortments and high user workload with poor planogram/assortment coverage in stores.
Assortment/Range Optimization
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Assortment decisions are not connected to the actual space availability on the shelf.
Assortment decisions and strategies are not data-driven. And the measurement of success is undefined.
Decentralized assortment planning causing inconsistent in strategies across the group and poor category performance.
Planogram/Micro Space Optimization
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Unable to rapidly refresh planograms with new product line introductions, product discontinuations and data-driven space allocation refinements at scale.
Regular overstock and stockouts resulting in wastage and missed sales opportunities. This is caused by products not getting space on the shelf relative to their rate of sale.
Suboptimal product placement on shelves in-stores due to lacking/ inconsistent merchandising strategies for each category.
Suboptimal product placement on shelves in-stores due to inability to create data-driven plans for product placements.
Unable to accurately manage opening orders of shelving and inventory for new store openings/ store revamps.
Inability to analyse shelf space performance.
Inability to consistently execute product placement trade agreements with suppliers resulting in damaged supplier relationships.
Inability to visually preview the product placement look and feel before implementing at store-level.
Macro/Floor Plan Optimization
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Declining/ poor customer traffic and dwell time.
Excess shopper congestion during peak trading hours which leads to poor shopping experiences.
Stock imbalances (overstock and stockouts).
Store layout inconsistent across stores.
Missed categories or incorrect planogram sizes sent to stores.
Data Flow/Integrations
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Cluster, Range or Space planning data does feed back into replenishment engine and/ or other system.
Point of sale data is not available or easily accessible for category management purposes.
Store Communications & Compliance
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Inability to communicate point-of-purchase strategies and tactics to stores.
Stores are unable to implement planograms due to lack of clarity on floor placement.
Inefficient/ absent Planogram implementation/compliance reporting.
Stores implement old or incorrect planograms.
Talent Availability
*
Do not have people available to perform the category management function.
The people I have are not equipped to confidently perform the category management function.
Do not have the leadership capacity required to oversee and lead the category management function.
Shortage of IT skills availability to assist with technical and database implementation.
How are product naming conventions currently handled within your business?
*
How are products currently classified into relevant categories, subcategories, segments, and sub-segments within your business?
*
How is inaccurate or incomplete geographic store information currently addressed within your business?
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How is the availability of raw product data for category management currently handled within your business?
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How are inefficient store-based clusters or inaccurate category clusters currently managed to ensure accurate assortments and reduce workload?
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How is the alignment between assortment decisions and shelf space availability currently handled within your business?
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Currently how is data used to drive assortment decisions and define success metrics within your business?
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How is decentralized assortment planning currently managed to maintain consistent strategies across the group?
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How are planograms currently being refreshed to accommodate new products, discontinuations, and space allocation updates at scale?
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How are overstock and stockout issues currently managed in relation to shelf space and sales rates?
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Currently how is product placement on shelves being optimized with consistent merchandising strategies across categories?
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How is data currently being utilized to create plans for optimal product placements on shelves?*
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How are opening orders for shelving and inventory currently being handled for new store openings or revamps?*
*
How is shelf space performance currently being analyzed and managed within your business?*
*
Currently how are product placement trade agreements with suppliers consistently executed to maintain strong relationships?*
*
Currently how is the look and feel of product placements visually previewed before store-level implementation?*
*
How are declining customer traffic and low dwell times currently addressed within your business?*
*
How is shopper congestion during peak hours currently being managed to improve the shopping experience?*
*
How are stock imbalances, including overstock and stockouts, currently resolved?*
*
Currently how is store layout consistency across various locations managed within your business?*
*
How are category and planogram size errors currently prevented when sending instructions to stores?*
*
How does cluster, range, or space planning data currently integrate with the replenishment engine and other systems?*
*
How is point-of-sale data currently being made accessible and usable for category management?*
*
How are point-of-purchase strategies and tactics currently being communicated effectively to stores?*
*
How is floor placement guidance currently provided to ensure accurate planogram implementation?*
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How is planogram implementation and compliance reporting currently being managed within your business?*
*
How are outdated or incorrect planograms currently being prevented from being implemented in stores?*
*
How is staffing currently being managed to effectively support the category management function?*
*
Currently how are team members equipped to perform category management functions confidently?*
*
How is leadership capacity currently being developed to oversee and lead the category management function?*
*
How are IT skills and resources currently allocated to support technical and database needs for category management?*
*
Search
New
Pricing
Software
Planograms
Assortment Planning
Clustering
Floor Planning
Retail Analytics
Unified Data Engine
Dotactiv Viewer
LOLA – AI Assistant
LUNA – Planogram Automation
NOVA – Planogram Automation
TrueView – Planogram Compliance & Image Recognition
Support
About us
Sustainability
Our Why – Sustainability
Dotactiv Listing
Our Story
Leadership
Customers
Resources
Free Ebooks & Case Studies
Video Demo & Presentations
Search Powerbase
Careers
Become a partner
CSR
Get DotActiv
Blog
book a demo