AI, automation and digitalization for retail & FMCG
Artificial intelligence and robotic process automation (RPA) enable new efficiency gains for retail: we transform your retail data into measurable growth and reduce your process costs.
AI in retail
Inflation, high return rates and highly complex supply chains are putting retailers and the consumer goods industry (FMCG) under massive pressure. In this environment, traditional IT is no longer enough: Intelligent digitalization is the decisive lever for operational excellence and profitability.
ROOVER supports retailers, fashion brands and FMCG companies in exploiting the full potential of artificial intelligence, data analysis and robotic process automation (RPA).
We close the gap between digital strategy and operational implementation: pragmatically, quickly and with a clear focus on increasing your efficiency.
What impact will AI, digitalization and robotics have on retail and FMCG companies?
Hyperpersonalization & AI marketing
Are you losing sales due to inefficient campaigns, watering can marketing or high advertising costs?
We use generative AI and predictive analytics for highly personalized 1:1 offers and automated content creation across all omnichannel touchpoints.
AI agents in e-commerce customer care
Are your service costs exploding due to routine inquiries about delivery status and returns?
We implement autonomous, multilingual AI agents that solve customer queries independently around the clock and relieve your service centers massively.
Generative Engine Optimization (GEO)
Do your products not show up when customers ask ChatGPT or AI search engines for recommendations?
Traditional SEO is becoming less important. We optimize your brand and product databases specifically for Large Language Models (LLMs) so that you rank as a top recommendation in AI-supported purchase consultations and chat interfaces.
Back office optimization with AI & RPA
Are manual processes in financial accounting, HR and purchasing tying up too many resources?
We use intelligent software robots (RPA) and AI document processing to automate high-transaction mass processes (e.g. procure-to-pay).
Predictive analytics in returns management
Are high return rates in online retail eating away at your profitability?
We use predictive analytics and computer vision to accurately predict reasons for returns and proactively reduce them through data-driven recommendations.
AI copilots at the POS & in B2B sales
Is your staff on the floor or in the field losing time searching for information?
Customized RAG systems provide your teams at the point of sale (POS) or in B2B sales with all product specifications and local availability at the touch of a button.
Find out more about AI in retail in our AI training courses
The ROOVER approach for retail & FMCG
How we support your company
The digitalization and scaling of artificial intelligence in retail rarely fails due to software, but rather due to fragmented customer data, outdated ERP systems or a lack of process governance. As your pragmatic implementation partner, we support you with:
Digitization & potential analysis
Identification and ROI calculation of the most profitable levers along your customer journey, supply chain and in the administrative back office.
Data & AI strategy for omnichannel:
Development of a clear IT agenda that transforms isolated automation pilots into a holistic, scalable corporate strategy.
Target Operating Model & Data Governance (TOM):
Establishment of agile structures and clear guidelines for the secure handling of sensitive customer data (CRM & compliance) and pricing algorithms.
Hyperautomation & Implementation:
We take over the neutral technology selection and manage the implementation partners for RPA bots and AI systems until the successful rollout.
Enablement & Change Management:
Technology only works if it is used. We support your teams in the head office, in purchasing and on the shop floor with customized upskilling to anchor new digital workflows in the long term.
AI, automation and digitalization:
Retail and consumer goods
The next logical step after Industry 4.0 is the intelligent, autonomous organization with artificial intelligence, automation and robotics.
Many of our customers and exemplary industrial companies are already taking the necessary steps to take digitalization to the next level.
Example: Otto Group / Bonprix
AI-based product range optimization & returns avoidance
In the highly volatile fashion and e-commerce market, returns are the number one margin killer.
The Otto Group is tackling this problem at the root with its Bonprix brand: Instead of simply processing returns more efficiently, artificial intelligence prevents them before they even arrive.
Using the “learning collection” approach, algorithms calculate the likelihood of a garment being returned based on millions of historical data points, customer feedback and fit analyses as early as the design phase. Items with a negative forecast are not even produced or added to the range.
The business impact:
- Preventive reduction in returns: Drastic reduction in the returns rate through the consistent exclusion of potential “problem items” before the start of sales.
- Massive cost savings: Avoidance of expensive overproduction, tied-up capital in the warehouse (dead stock) and unnecessary logistics costs.
- Increasing profitability: A data-driven range that is precisely tailored to the actual fit and demand of the target group and immediately scales profitably.
Customer example: LEH company (NRW)
AI enablement for AI competencies
Even the most intelligent AI strategy will come to nothing if the workforce does not adapt it on a day-to-day basis.
Roover has designed and implemented a comprehensive AI enablement program for one of the largest food retail groups in Cologne in order to successfully roll out the digital transformation in the highly dynamic food retail sector.
Instead of abstract theory, the focus was on directly empowering the specialist departments. Through practical use case workshops and targeted AI upskilling with comprehensive level-specific AI training, artificial intelligence is used by the teams in a safe, productive and value-adding way.
The business impact:
- Accelerated adaptation: Rapid, cross-divisional transfer of AI tools into daily work processes (e.g. marketing, HR, administration).
- Scalable knowledge transfer: sustainable development of internal skills (“AI champions”) and proactive reduction of reservations.
- Significant efficiency gains: Massive time savings of up to 30% on routine administrative tasks thanks to the secure and compliance-compliant use of generative AI.
