AI for Retail & Consumer Goods
You already have the data. The problem is that it's in five different systems and none of them talk to each other.
We help retail and consumer goods companies get their data working together, forecast demand more accurately, and personalise at scale - without starting a three-year transformation programme.
Sound familiar?
The challenges holding retail and consumer goods companies back from scaling AI
Your data is everywhere except where you need it
Customer history, inventory levels, POS transactions, and e-commerce behaviour all exist - in systems that were bought separately, integrated minimally, and were never designed to feed a shared model. Most retail AI projects don't fail on the model side. They fail at the data preparation stage, before anything interesting can happen.
Source: Gartner, 2025
The pilot worked in ten stores. It hasn't moved since.
Your demand forecasting pilot produced results you were proud of. Getting it to 500 stores means rebuilding data pipelines that don't generalise, retraining models on regional variation, and convincing store managers to change ordering behaviour based on outputs they don't yet trust. That last one is usually the hardest part.
On 3% margins, every AI project needs to prove itself fast
Retail doesn't have the luxury of open-ended experimentation. If a project can't show clear financial impact within a defined timeframe, it gets cut. The answer isn't to overpromise - it's to pick the right use cases first: the ones where the data is available, the baseline is measurable, and the path to ROI is short.
How we help retail companies
Practical AI implementations with measurable results
Customer service that scales without headcount
AI assistants that handle 40-55% of customer enquiries end-to-end - no human needed. From order status to returns processing, your team gets freed up for the conversations that actually require judgment. We've seen 75-80% time reduction on common requests, with response times dropping to under 30 seconds.
- 40-55% of enquiries automated end-to-end
- 75-80% time reduction on common customer requests
- Equivalent of 3-4 FTE savings at scale
Content and campaign production at 10x speed
Banner resizing from 2-3 days to 20 seconds. Article creation from 1 week to 1 hour, with output tripling from 2-4 to 8-10 per month. Video voiceovers re-produced in 2 days instead of months. AI-powered email flows generating $65K per month in revenue. This isn't about replacing your creative team - it's about removing the production bottleneck so they can focus on strategy.
- 70-95% time reduction per content piece
- 3x content output volume with existing team
- Agency costs eliminated for routine production
Trusted by retail leaders
“What made the collaboration with WAIMAKERS stand out was their hands-on involvement. Beyond educating our leadership, they worked closely with our marketing and customer service teams to co-design future-ready workflows.”
Scott Wakefield
CEO, Just Brands
“The masterclass with WAIMAKERS was very insightful. Their ability to translate AI principles into real retail use cases for SSP UK was unique.”
Rolf Geling
CFO UK, Ireland & Netherlands, SSP Group Plc
“Greg and WAIMAKERS did a brilliant job both inspiring our leadership team about the transformative potential of AI and showing us how to move forward with practical, high-impact steps.”
Chirag Patel
CEO, Pentland Brands
“The WAIMAKERS team translated Generative AI into immediate business value for NEOM. The session was both creatively inspiring and operationally relevant.”
Isabel Malbois
CEO, NEOM
“Thanks to WAIMAKERS's AI-generated B2B prospect lists, we achieved an 18% increase in sales in Germany and even 32% in Bulgaria.”
Joris Rooijackers
CEO, Esro Food Group BV
“WAIMAKERS helped the Copus teams to move beyond curiosity and into execution. We explored concrete use cases around employer branding, multichannel outreach, and internal content operations.”
Brecht De Mey
CEO, Copus
How we work with retail companies
A proven approach adapted for your sector's requirements
Discovery
We map your data landscape, customer journeys, and supply chain to identify highest-impact AI opportunities
Pilot
Quick proof of concept in a controlled store or product group with measurable results in 4-6 weeks
Scale
Roll out successful pilots across store networks with proper training and change management
Optimise
Continuous improvement, model retraining, and expansion to new categories and channels
Free: AI Readiness Assessment for Retail
Evaluate your organisation's AI readiness across forecasting, personalisation, and operations in 10 minutes.
- Retail-specific data readiness evaluation
- Use case prioritisation by margin impact
- Common pitfalls in retail AI transformation
Let's talk about what AI can actually move in your retail business.
Book a 30-minute call to walk through your forecasting, personalisation, and operational challenges - no pitch deck, just a conversation.