AI & automation
AI Recommendation Engine
Suggestions that lift basket size, measured.
Recommendations are worth building only if you can prove the lift. We instrument them against a holdout from the start, so the number you are shown is real.
How we scope it
We start by mapping the process as it actually runs, exceptions included, because the exceptions are usually why the packaged product did not fit. That produces a build order — what is costing you now goes first — and an estimate we are willing to be held to.
If the honest answer is that an off-the-shelf product would serve you better, or that this does not need building yet, we will say so. That conversation costs us a project occasionally and saves the relationship every time.
What is included
- Behaviour-based and catalogue-based recommendations
- Cold-start handling for new products and users
- A/B testing with a genuine holdout group
- Measured lift on basket size and repeat rate
Locally
AI Recommendation Engine by city
- AI Recommendation Engine in Jaipur
- AI Recommendation Engine in Delhi
- AI Recommendation Engine in Mumbai
- AI Recommendation Engine in Bengaluru
- AI Recommendation Engine in Hyderabad
- AI Recommendation Engine in Pune
- AI Recommendation Engine in Chennai
- AI Recommendation Engine in Ahmedabad
- AI Recommendation Engine in Kolkata
- AI Recommendation Engine in Surat
- AI Recommendation Engine in Gurugram
- AI Recommendation Engine in Noida
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Need ai recommendation engine?
Tell us what you are trying to achieve. We will tell you what it would take — including if we are not the right fit.
